Design of a optimal robust adaptive neural network-based fractional-order PID controller for H-bridge single-phase inverter
Adaptive Neural Network- based Fractional-order PID Control (NN-FO-PID) approach is designed for H-bridge inverter. This inverter has an LC filter to decrease the level of Total Harmonic Distortion (THD) that can affect the efficiency of the system. In addition, the reduction of THD and stability in...
Saved in:
| Published in: | Applied soft computing Vol. 166; p. 112142 |
|---|---|
| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01.11.2024
|
| Subjects: | |
| ISSN: | 1568-4946 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | Adaptive Neural Network- based Fractional-order PID Control (NN-FO-PID) approach is designed for H-bridge inverter. This inverter has an LC filter to decrease the level of Total Harmonic Distortion (THD) that can affect the efficiency of the system. In addition, the reduction of THD and stability insurance of the filter are challenging performances. To fulfill this function, a fractional order proportional integrated derivative (FO-PID) controller is developed for the inverter. A few merits of the Fractional-Order notion as a useful technique include reduced sensitivity to noise and parametric fluctuation; however, for a wider range of disturbances, such as noise, this approach shows an unsuitable practical application based on its fixed gain values. Moreover, having parameters uncertainties including parametric variations, load uncertainty, supply voltage variation uplifts this challenging condition severely, and the parameters need to be adjusted once more for more dependable operations. As a result, the control parameters must be optimized once more to provide ideal operations. Here, an adaptive mechanism is proposed based on neural network structure to optimize the gains of the FO-PID controller for better performances. In real applications, this approach has some benefits, since it uses the Black-box technique, which does not necessitate a precise mathematical model of the system, resulting in a reduced computational burden, simple implementation, and reduced dependence on the model’s states. Even under extremely difficult circumstances, the artificial neural network structure effectively optimizes the FO-PID gains in real-time. This benefit can reduce the amount of THD-level for the inverter, properly. Additionally, to have a proper response in the first step condition, and trying to reduce the level of dangerous conditions, based on benefits of the ant lion optimization method, it is considered to select the initial values of the FO-PID controller gains. Here to verify the superiority of the proposed controller, PID and FO-PID controllers are offered to drive a comparison with this method, which are optimized using the PSO optimization algorithm. The analysis of simulation data shows that the suggested control strategy is appropriate for maintaining stability as well as adequately compensating for disturbances and uncertainties in the inverter. Furthermore, with the help of this controller, THD level decreased lower than 2 percent.
•The proposed technique generates directly the switching signals of the converter by model-free controller.•Online NN-based tuning mechanism adopted for Fractional- Order PID controller has resulted in lower sensitivity to different disturbances and higher stability.•This method is benefited from a single layer neural network structure leading to faster dynamics and lower computational burden.•The efficiency of the presented controller is validated in both experiments and simulation studies. In respect to other compared methods, the rate of THD is limited to under 2 %. |
|---|---|
| AbstractList | Adaptive Neural Network- based Fractional-order PID Control (NN-FO-PID) approach is designed for H-bridge inverter. This inverter has an LC filter to decrease the level of Total Harmonic Distortion (THD) that can affect the efficiency of the system. In addition, the reduction of THD and stability insurance of the filter are challenging performances. To fulfill this function, a fractional order proportional integrated derivative (FO-PID) controller is developed for the inverter. A few merits of the Fractional-Order notion as a useful technique include reduced sensitivity to noise and parametric fluctuation; however, for a wider range of disturbances, such as noise, this approach shows an unsuitable practical application based on its fixed gain values. Moreover, having parameters uncertainties including parametric variations, load uncertainty, supply voltage variation uplifts this challenging condition severely, and the parameters need to be adjusted once more for more dependable operations. As a result, the control parameters must be optimized once more to provide ideal operations. Here, an adaptive mechanism is proposed based on neural network structure to optimize the gains of the FO-PID controller for better performances. In real applications, this approach has some benefits, since it uses the Black-box technique, which does not necessitate a precise mathematical model of the system, resulting in a reduced computational burden, simple implementation, and reduced dependence on the model’s states. Even under extremely difficult circumstances, the artificial neural network structure effectively optimizes the FO-PID gains in real-time. This benefit can reduce the amount of THD-level for the inverter, properly. Additionally, to have a proper response in the first step condition, and trying to reduce the level of dangerous conditions, based on benefits of the ant lion optimization method, it is considered to select the initial values of the FO-PID controller gains. Here to verify the superiority of the proposed controller, PID and FO-PID controllers are offered to drive a comparison with this method, which are optimized using the PSO optimization algorithm. The analysis of simulation data shows that the suggested control strategy is appropriate for maintaining stability as well as adequately compensating for disturbances and uncertainties in the inverter. Furthermore, with the help of this controller, THD level decreased lower than 2 percent.
•The proposed technique generates directly the switching signals of the converter by model-free controller.•Online NN-based tuning mechanism adopted for Fractional- Order PID controller has resulted in lower sensitivity to different disturbances and higher stability.•This method is benefited from a single layer neural network structure leading to faster dynamics and lower computational burden.•The efficiency of the presented controller is validated in both experiments and simulation studies. In respect to other compared methods, the rate of THD is limited to under 2 %. |
| ArticleNumber | 112142 |
| Author | Balochian, Saeed Kashfi, Rasoul Alishahi, Mohammad |
| Author_xml | – sequence: 1 givenname: Rasoul surname: Kashfi fullname: Kashfi, Rasoul email: r.kashfi1366@gmail.com organization: Department of Electrical Engineering, Gonabad Branch, Islamic Azad University, Gonabad, Postal code 9691664791, Iran – sequence: 2 givenname: Saeed orcidid: 0000-0003-3137-9167 surname: Balochian fullname: Balochian, Saeed email: saeed.balochian@gmail.com, saeed.balochian@mshdiau.ac.ir organization: Department of Electrical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran – sequence: 3 givenname: Mohammad surname: Alishahi fullname: Alishahi, Mohammad email: alishahi@ieee.org organization: Department of Computer Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran |
| BookMark | eNp9kMtOAzEMRbMoEuXxA6zyA1OSzHQmI7FBvIqEBAtYR27iKSlDUjmhCPHzpCorFqwsWz6W7zlikxADMnYmxUwK2Z6vZ5CinSmhmpmUSjZqwqZy3uqq6Zv2kB2ltBZlsVd6yr6vMflV4HHgwOMm-3cYOcXlR8ocHJTBFnnADyrjgPkz0lu1hISODwQ2-xhgrCI5JP50f81tDJniOJZ2iMQX1ZK8WyFPPqxGrDavBeU-bJEy0gk7GGBMePpbj9nL7c3z1aJ6eLy7v7p8qGwtRK6GrulRt10HDWCnNIq27dq-ceA6aXtw2vVq2c81agU11m3tbDOUfFILmHeqPmZ6f9dSTIlwMNZn2P2eCfxopDA7cWZtduLMTpzZiyuo-oNuqCiir_-hiz2EJdTWI5lkPQaLzhPabFz0_-E_nPCNRA |
| CitedBy_id | crossref_primary_10_3390_fractalfract9040202 crossref_primary_10_1016_j_ijepes_2025_110579 |
| Cites_doi | 10.1109/ICEIT48248.2020.9113183 10.1016/j.aeue.2017.06.008 10.1016/j.engappai.2011.10.004 10.1140/epjs/s11734-022-00455-3 10.1109/iSPEC53008.2021.9735583 10.1109/TIE.2022.3206750 10.1088/1755-1315/343/1/012190 10.1109/ACCESS.2019.2899610 10.1016/j.ifacol.2022.04.121 10.1109/ACCESS.2019.2940040 10.1109/TIE.2022.3146643 10.1109/TIE.2022.3224185 10.1049/cth2.12230 10.1016/j.jfranklin.2022.03.043 10.1016/j.compeleceng.2021.107534 10.11591/eei.v9i4.1885 10.1016/j.measurement.2023.112525 10.1109/ECCE.2019.8913100 10.1007/s00202-021-01226-4 10.1109/IBCAST51254.2021.9393189 10.1109/ACCESS.2021.3073033 10.1016/j.asoc.2018.07.039 10.1080/17445760.2023.2172576 10.1109/ACCESS.2022.3187996 10.1109/TPEL.2020.2978670 10.1007/978-981-13-1595-4_10 10.1109/ACCESS.2020.3038583 10.28991/ESJ-2022-06-01-014 10.1155/2020/3067024 10.1109/TIE.2010.2077615 10.1109/TPEL.2019.2907226 10.1016/j.isatra.2022.06.030 10.1007/s40435-022-00963-z 10.1109/ACCESS.2019.2916195 10.1016/j.conengprac.2022.105340 10.1049/iet-pel.2020.0454 10.4028/p-1bvgm9 10.1049/pel2.12162 10.1080/02564602.2016.1202792 10.1109/ACCESS.2019.2934253 10.1109/ACCESS.2021.3055117 10.1016/j.isatra.2015.03.003 10.1109/TPEL.2019.2934821 10.3390/app12010052 10.3390/en15010303 10.1109/TPWRS.2020.2999415 10.3390/fractalfract6040204 10.3906/elk-1206-45 10.1016/j.advengsoft.2015.01.010 10.1016/j.isatra.2021.11.045 10.1109/ICoCS.2015.7483317 10.1016/j.isatra.2021.11.037 10.1109/ACCESS.2019.2912216 |
| ContentType | Journal Article |
| Copyright | 2024 Elsevier B.V. |
| Copyright_xml | – notice: 2024 Elsevier B.V. |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.asoc.2024.112142 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| ExternalDocumentID | 10_1016_j_asoc_2024_112142 S1568494624009165 |
| GroupedDBID | --K --M .DC .~1 0R~ 1B1 1~. 1~5 23M 4.4 457 4G. 53G 5GY 5VS 6J9 7-5 71M 8P~ AABNK AACTN AAEDT AAEDW AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXKI AAXUO AAYFN ABBOA ABFNM ABFRF ABJNI ABMAC ABXDB ACDAQ ACGFO ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADJOM ADMUD ADTZH AEBSH AECPX AEFWE AEKER AENEX AFJKZ AFKWA AFTJW AGHFR AGUBO AGYEJ AHJVU AHZHX AIALX AIEXJ AIKHN AITUG AJOXV AKRWK ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD ASPBG AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CS3 EBS EFJIC EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q GBLVA GBOLZ HVGLF HZ~ IHE J1W JJJVA KOM M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SDF SDG SES SEW SPC SPCBC SST SSV SSZ T5K UHS UNMZH ~G- 9DU AATTM AAYWO AAYXX ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFPUW AGQPQ AIGII AIIUN AKBMS AKYEP ANKPU APXCP CITATION EFKBS EFLBG ~HD |
| ID | FETCH-LOGICAL-c300t-f749e8677a4ae728e0667694dad71c9ad8d92b958e82a3e363dc4f169180a5723 |
| ISICitedReferencesCount | 1 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001307705200001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1568-4946 |
| IngestDate | Sat Nov 29 03:06:05 EST 2025 Tue Nov 18 21:02:40 EST 2025 Sat Nov 23 15:54:55 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | H-bridge inverter Fractional-order PID controller Neural Network structure Disturbance Ant lion Optimization Algorithm |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c300t-f749e8677a4ae728e0667694dad71c9ad8d92b958e82a3e363dc4f169180a5723 |
| ORCID | 0000-0003-3137-9167 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_asoc_2024_112142 crossref_primary_10_1016_j_asoc_2024_112142 elsevier_sciencedirect_doi_10_1016_j_asoc_2024_112142 |
| PublicationCentury | 2000 |
| PublicationDate | November 2024 2024-11-00 |
| PublicationDateYYYYMMDD | 2024-11-01 |
| PublicationDate_xml | – month: 11 year: 2024 text: November 2024 |
| PublicationDecade | 2020 |
| PublicationTitle | Applied soft computing |
| PublicationYear | 2024 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | M. Babaie, M. Sharifzadeh, M. Mehrasa, K. Al-Haddad, 2019, Optimized Based Algorithm First Order Sliding Mode Control for Grid- Connected Packed E-Cell (PEC) Inverter’, 2019 IEEE Energy Conversion Congress and Exposition (ECCE), Baltimore, MD, USA, 2019, pp. 2269-2273 12. Tepljakov, Alagoz, Yeroglu, Gonzalez, Hosseinnia, Petlenkov, Ates, Cech (bib33) 2021; 9 Guha, Roy, Banerjee (bib37) 2023; 133 Li, Wen, Li, He (bib38) 2023; 70 Ibraheem, R, Azar, Ibraheem, Humaidi (bib47) 2020 Gaburro Bacheti, Sartorio Camargo, Silva Amorim, Yahyaoui, Frizera Encarnacao (bib19) 2022; 11 Kumar, Mouttou (bib25) 2020; 9 Saadat, Ghamari, Mollaee, Khavari (bib24) 2021; 14 Ray, Gupta, Gupta (bib3) 2017; 34 Sadollah, Sayyaadi, Yadav (bib42) 2018; 71 Alamri, Alharbi (bib2) 2020; 8 Latif, Khan, Ahmad (bib22) 2021 Farooq, Zaman, Khan, Muyeen, Ibeas (bib17) 2019; 7 Kumar, Hote (bib29) 2021; 103 Abdollahzadeh, Asadi, Pourgholi (bib41) 2020 Satti, A, Hasan (bib13) 2019; 7 Azari, Sarfi (bib30) 2018; 5 Das, Pan, Das, Gupta (bib44) 2012; 25 Mirjalili (bib57) 2015; 83 Angundjaja, Wang, Jiang (bib50) 2022; 12 Kumar, Kumar (bib45) 2017; 79 Ghamari, Gholizadeh Narm, Mollaee (bib58) 2022; 16 Labdai, Bounar, Boulkroune, Hemici, Nezli (bib54) 2022; 128 Letsoin (bib4) 2019; 343 Javvaji, Banakara (bib26) 2022 H.M. Zawbaa, E. Emary, B. Parv, 2015, Feature selection based on antlion optimization algorithm’, IEEE Third World Conference on Complex Systems (WCCS), Marrakech, Morocco, 2015, pp. 1-7, DOI: 10.1109/ICoCS.2015.7483317. Chai, Gorla, Panda (bib15) 2020; 35 Mohd Helmi, Ahmad (bib28) 2022; 128 Liu, Qiu, Rodriguez, Wu, Ma, Peng, Wang, Fang (bib52) 2022; 70 Vu, Pho, Tran, Tran (bib18) 2022; 12 Viera-Martin, Gomez-Aguilar, Solis-Perez, Hernandez-Perez, Escobar-Jimenez (bib43) 2022; 231 Ghamari, M, Mollaee, Khavari (bib16) 2020; 13 Ghamari, Gholizadeh Narm, Mollaee (bib34) 2021 Katir, Abouloifa, Noussi, Lachkar, Fouad (bib23) 2021 Singhal, Kumar, Rana (bib39) 2022; 359 H. Xi, Q. Wang, 2021, Design of back propagation neural network PID control for boost converter’, IEEE Sustainable Power and Energy Conference (ISPEC). IEEE, 2021, DOI: 10.1109/iSPEC53008.2021.9735583. Patel, Guha, Purwar (bib49) 2021; 96 Ehteram, Seifi, Banadkooki (bib59) 2023 Mok, Ashraf, Ahmad (bib31) 2022; 35 Hannan, Ghani, Murshadul Hoque, Ker (bib27) 2019; 7 Tong, Ma, Chen, Wei, Shi (bib63) 2023; 70 Al Sumarmad, Sulaiman, Wahab, Hizam (bib51) 2022; 15 Tzounas, Dassios, Murad, Milano (bib35) 2020; 35 Bakeer, Mohamed, Malidarreh, Hattabi, Liu (bib53) 2022; 10 Warrier, Shah (bib32) 2021; 9 Balal, Dinkhah, Shahabi, Herrera, Chuang (bib5) 2022; 6 Pan, Das (bib46) 2016; 62 Zhu, Wen, Sun, Wu (bib64) 2019; 7 H. Katir, A. Abouloifa, K. Noussi, I. Lachkar, 2020, Sliding Mode Based Control of Five Cascaded H-Bridge Inverters’, 2020 International Conference on Electrical and Information Technologies (ICEIT), 2020, pp. 1-6. Abdollahzadeh, Mollaee, Ghamari, Khavari (bib40) 2023 Nawal, Bentouati, Saliha, Abdelkader, El-Sehiemy (bib61) 2022; 905 Mummadi (bib8) 2010; 58 Atar, Balci, Kayabasi (bib55) 2023; 210 Tiang, Ishak (bib9) 2014; 22 Ahmed, Biricik, Komurcugil, Elghali, Benbouzid (bib21) 2022; 128 Ghamari, Gholizadeh Narm, Khavari (bib1) 2022; 11 Azeem, Yellasiri, Jammala, Naik, Panda (bib10) 2019; 34 Xiao, Jia, Tang, Jin, Mu, Teodorescu, Blaabjerg (bib20) 2022; 70 Viswanath, Muralikumar, Ponnambalam, Praveen Kumar (bib12) 2019; vol 817 Davendra, Metlicka, Davendra (bib60) 2023; 38 Ye, Chen, Kang, Li, Zhang, Wu (bib7) 2019; 7 Timis, Muresan, Dulf (bib36) 2022; 6 Jamsheed, Iqbal (bib62) 2022; 55 Wu, Xiong, Yang, Yang, Feng (bib6) 2019; 35 Alamri (10.1016/j.asoc.2024.112142_bib2) 2020; 8 Al Sumarmad (10.1016/j.asoc.2024.112142_bib51) 2022; 15 Vu (10.1016/j.asoc.2024.112142_bib18) 2022; 12 Xiao (10.1016/j.asoc.2024.112142_bib20) 2022; 70 Pan (10.1016/j.asoc.2024.112142_bib46) 2016; 62 Mok (10.1016/j.asoc.2024.112142_bib31) 2022; 35 Abdollahzadeh (10.1016/j.asoc.2024.112142_bib41) 2020 Angundjaja (10.1016/j.asoc.2024.112142_bib50) 2022; 12 Javvaji (10.1016/j.asoc.2024.112142_bib26) 2022 Kumar (10.1016/j.asoc.2024.112142_bib45) 2017; 79 Ghamari (10.1016/j.asoc.2024.112142_bib34) 2021 Das (10.1016/j.asoc.2024.112142_bib44) 2012; 25 Satti (10.1016/j.asoc.2024.112142_bib13) 2019; 7 Chai (10.1016/j.asoc.2024.112142_bib15) 2020; 35 Ghamari (10.1016/j.asoc.2024.112142_bib16) 2020; 13 Labdai (10.1016/j.asoc.2024.112142_bib54) 2022; 128 Mummadi (10.1016/j.asoc.2024.112142_bib8) 2010; 58 Kumar (10.1016/j.asoc.2024.112142_bib25) 2020; 9 Balal (10.1016/j.asoc.2024.112142_bib5) 2022; 6 Viswanath (10.1016/j.asoc.2024.112142_bib12) 2019; vol 817 Patel (10.1016/j.asoc.2024.112142_bib49) 2021; 96 Ye (10.1016/j.asoc.2024.112142_bib7) 2019; 7 Azeem (10.1016/j.asoc.2024.112142_bib10) 2019; 34 Guha (10.1016/j.asoc.2024.112142_bib37) 2023; 133 Latif (10.1016/j.asoc.2024.112142_bib22) 2021 Ibraheem (10.1016/j.asoc.2024.112142_bib47) 2020 Tzounas (10.1016/j.asoc.2024.112142_bib35) 2020; 35 Singhal (10.1016/j.asoc.2024.112142_bib39) 2022; 359 Ray (10.1016/j.asoc.2024.112142_bib3) 2017; 34 Saadat (10.1016/j.asoc.2024.112142_bib24) 2021; 14 Sadollah (10.1016/j.asoc.2024.112142_bib42) 2018; 71 Mirjalili (10.1016/j.asoc.2024.112142_bib57) 2015; 83 Davendra (10.1016/j.asoc.2024.112142_bib60) 2023; 38 Ahmed (10.1016/j.asoc.2024.112142_bib21) 2022; 128 Ghamari (10.1016/j.asoc.2024.112142_bib1) 2022; 11 Farooq (10.1016/j.asoc.2024.112142_bib17) 2019; 7 Jamsheed (10.1016/j.asoc.2024.112142_bib62) 2022; 55 10.1016/j.asoc.2024.112142_bib14 Azari (10.1016/j.asoc.2024.112142_bib30) 2018; 5 10.1016/j.asoc.2024.112142_bib56 Hannan (10.1016/j.asoc.2024.112142_bib27) 2019; 7 Timis (10.1016/j.asoc.2024.112142_bib36) 2022; 6 Mohd Helmi (10.1016/j.asoc.2024.112142_bib28) 2022; 128 Liu (10.1016/j.asoc.2024.112142_bib52) 2022; 70 Tepljakov (10.1016/j.asoc.2024.112142_bib33) 2021; 9 Tiang (10.1016/j.asoc.2024.112142_bib9) 2014; 22 Katir (10.1016/j.asoc.2024.112142_bib23) 2021 Viera-Martin (10.1016/j.asoc.2024.112142_bib43) 2022; 231 10.1016/j.asoc.2024.112142_bib48 Wu (10.1016/j.asoc.2024.112142_bib6) 2019; 35 Warrier (10.1016/j.asoc.2024.112142_bib32) 2021; 9 Abdollahzadeh (10.1016/j.asoc.2024.112142_bib40) 2023 Nawal (10.1016/j.asoc.2024.112142_bib61) 2022; 905 10.1016/j.asoc.2024.112142_bib11 Atar (10.1016/j.asoc.2024.112142_bib55) 2023; 210 Letsoin (10.1016/j.asoc.2024.112142_bib4) 2019; 343 Kumar (10.1016/j.asoc.2024.112142_bib29) 2021; 103 Zhu (10.1016/j.asoc.2024.112142_bib64) 2019; 7 Ghamari (10.1016/j.asoc.2024.112142_bib58) 2022; 16 Gaburro Bacheti (10.1016/j.asoc.2024.112142_bib19) 2022; 11 Li (10.1016/j.asoc.2024.112142_bib38) 2023; 70 Ehteram (10.1016/j.asoc.2024.112142_bib59) 2023 Tong (10.1016/j.asoc.2024.112142_bib63) 2023; 70 Bakeer (10.1016/j.asoc.2024.112142_bib53) 2022; 10 |
| References_xml | – volume: 11 start-page: 783 year: 2022 end-page: 796 ident: bib1 article-title: Design of a robust adaptive self-tuning regulator controller on single-phase full-bridge grid-connected inverter publication-title: Int. J. Dyn. Control – reference: H. Katir, A. Abouloifa, K. Noussi, I. Lachkar, 2020, Sliding Mode Based Control of Five Cascaded H-Bridge Inverters’, 2020 International Conference on Electrical and Information Technologies (ICEIT), 2020, pp. 1-6. – volume: 35 start-page: 10109 year: 2020 end-page: 10120 ident: bib15 article-title: Fault detection and localization for cascaded H-bridge multilevel converter with model predictive control publication-title: IEEE Trans. Power Electron. – volume: 5 start-page: 377 year: 2018 end-page: 385 ident: bib30 article-title: Robust Intelligent Controller for Voltage Stabilization of dc-dc Boost Converters’ publication-title: Int. Res. J. Eng. Technol. – volume: 35 start-page: 4192 year: 2019 end-page: 4204 ident: bib6 article-title: A simplified space vector pulse width modulation scheme for three-phase cascaded H-bridge inverters publication-title: IEEE Trans. Power Electron. – volume: 34 start-page: 9360 year: 2019 end-page: 9364 ident: bib10 article-title: A fuzzy logic based switching methodology for a cascaded H-bridge multi-level inverter publication-title: IEEE Trans. Power Electron. – volume: 12 start-page: 1279 year: 2022 end-page: 1288 ident: bib18 article-title: An artificial neural network-based model predictive control of cascaded h- bridge multilevel inverter’ publication-title: Int. J. Renew. Energy Res. (IJRER) – volume: 83 start-page: 80 year: 2015 end-page: 98 ident: bib57 article-title: The ant lion optimizer publication-title: Adv. Eng. Softw. – volume: 7 start-page: 53152 year: 2019 end-page: 53162 ident: bib7 article-title: Hybrid multi-carrier PWM technique based on carrier reconstruction for cascaded H-bridge inverter publication-title: IEEE Access – volume: 16 start-page: 340 year: 2022 end-page: 352 ident: bib58 article-title: ‘Fractional-order fuzzy PID controller design on buck converter with antlion optimization algorithm’ publication-title: IET Control Theory Appl. – volume: 25 start-page: 430 year: 2012 end-page: 442 ident: bib44 article-title: A novel fractional order fuzzy PID controller and its optimal time domain tuning based on integral performance indices publication-title: Eng. Appl. Artif. Intell. – volume: 70 start-page: 2176 year: 2023 end-page: 2180 ident: bib63 article-title: Finite-time synchronization and energy consumption prediction for multilayer fractional-order networks publication-title: IEEE Trans. Circuits Syst. II: Express Briefs – volume: 128 start-page: 265 year: 2022 end-page: 286 ident: bib28 article-title: Optimal tuning of sigmoid PID controller using nonlinear sine cosine algorithm for the automatic voltage regulator system publication-title: ISA Trans. – volume: 231 start-page: 2059 year: 2022 end-page: 2095 ident: bib43 article-title: Artificial neural networks: a practical review of applications involving fractional calculus publication-title: Eur. Phys. J. Spec. Top. – volume: 55 start-page: 740 year: 2022 end-page: 745 ident: bib62 article-title: An Adaptive Neural Network-Based Controller to Stabilize Power Oscillations in Wind-integrated Power Systems publication-title: IFAC-Pap. Onlin – volume: 8 start-page: 209212 year: 2020 end-page: 209223 ident: bib2 article-title: A framework for optimum determination of LCL-filter parameters for N-level voltage source inverters using heuristic approach publication-title: IEEE Access – start-page: 645 year: 2022 end-page: 658 ident: bib26 article-title: Closed-Loop Control of Cascaded H-Bridge Multilevel Inverter Using Fractional Order-PID Controller publication-title: Proceedings of Third International Conference on Intelligent Computing, Information and Control Systems: ICICCS 2021. – volume: 70 start-page: 7246 year: 2023 end-page: 7256 ident: bib38 article-title: Adaptive fractional-order backstepping control for a general class of nonlinear uncertain integer-order systems publication-title: IEEE Trans. Ind. Electron. – volume: 14 start-page: 1960 year: 2021 end-page: 1972 ident: bib24 article-title: Adaptive neuro-fuzzy inference systems (ANFIS) controller design on single-phase full-bridge inverter with a cascade fractional-order PID voltage controller publication-title: IET Power Electron. – volume: 359 start-page: 4160 year: 2022 end-page: 4215 ident: bib39 article-title: Robust trajectory tracking control of nonholonomic wheeled mobile robots using an adaptive fractional order parallel fuzzy PID controller publication-title: J. Frankl. Inst. – volume: vol 817 year: 2019 ident: bib12 article-title: Symmetrical Cascaded Switched-Diode Multilevel Inverter with Fuzzy Controller publication-title: Advances in Intelligent Systems and Computing – volume: 133 start-page: 160 year: 2023 end-page: 183 ident: bib37 article-title: Adaptive fractional-order sliding-mode disturbance observer-based robust theoretical frequency controller applied to hybrid wind-diesel power system publication-title: ISA Trans. – volume: 71 start-page: 747 year: 2018 end-page: 782 ident: bib42 article-title: A dynamic metaheuristic optimization model inspired by biological nervous systems: neural network algorithm publication-title: Appl. Soft Comput. – start-page: 1 year: 2020 end-page: 18 ident: bib47 article-title: A novel design of a neural network-based fractional PID controller for mobile robots using hybridized fruit fly and particle swarm optimization publication-title: Complexity – volume: 96 year: 2021 ident: bib49 article-title: Neural network aided fractional-order sliding mode controller for frequency regulation of nonlinear power systems publication-title: Comput. Electr. Eng. – reference: H.M. Zawbaa, E. Emary, B. Parv, 2015, Feature selection based on antlion optimization algorithm’, IEEE Third World Conference on Complex Systems (WCCS), Marrakech, Morocco, 2015, pp. 1-7, DOI: 10.1109/ICoCS.2015.7483317. – volume: 6 start-page: 204 year: 2022 ident: bib36 article-title: Design and experimental results of an adaptive fractional-order controller for a quadrotor publication-title: Fractal Fract. – volume: 210 year: 2023 ident: bib55 article-title: Determination of output current THD of multilevel inverter by ANN publication-title: Measurement – volume: 905 start-page: 79 year: 2022 end-page: 92 ident: bib61 article-title: Renewable energy sources scheduling approach for windfarm layout optimization by using ant lion optimization algorithm’ publication-title: Appl. Mech. Mater. – volume: 128 start-page: 171 year: 2022 end-page: 180 ident: bib54 article-title: Artificial neural network-based adaptive control for a DFIG-based WECS publication-title: ISA Trans. – volume: 10 start-page: 70305 year: 2022 end-page: 70316 ident: bib53 article-title: An artificial neural network-based model predictive control for three-phase flying capacitor multilevel inverter publication-title: IEEE Access – start-page: 113 year: 2021 end-page: 119 ident: bib34 article-title: Fractional-order fuzzy PID controller design on buck converter with antlion optimization algorithm publication-title: IET Control Theory Appl. – volume: 34 start-page: 463 year: 2017 end-page: 477 ident: bib3 article-title: A comprehensive review on cascaded H-bridge inverter-based large-scale grid-connected photovoltaic publication-title: IETE Tech. Rev. – volume: 6 start-page: 185 year: 2022 end-page: 200 ident: bib5 article-title: A review on multilevel inverter topologies publication-title: Emerg. Sci. J. – volume: 343 start-page: 1 year: 2019 end-page: 11 ident: bib4 article-title: Review of the h-bridge three-phase low power dissipation connected micro-grid network publication-title: IOP Conf. Ser., Earth Environ. Sci. – volume: 22 start-page: 43 year: 2014 end-page: 56 ident: bib9 article-title: Modeling and simulation of deadbeat-based PI controller in a single-phase H-bridge inverter for stand-alone applications publication-title: Turk. J. Electr. Eng. Comput. Sci. – volume: 70 start-page: 9751 year: 2022 end-page: 9763 ident: bib20 article-title: Dual-layer modulated model predictive control scheme for the cascaded H-bridge converter publication-title: IEEE Trans. Ind. Electron. – volume: 103 start-page: 2415 year: 2021 end-page: 2429 ident: bib29 article-title: Maximum sensitivity-constrained coefficient diagram method-based PIDA controller design: application for load frequency control of an isolated microgrid publication-title: Electr. Eng. – year: 2021 ident: bib23 article-title: Cascaded H-bridge inverters for UPS applications: Adaptive backstepping control and formal stability analysis publication-title: IEEE Control Syst. Lett. – volume: 7 start-page: 62750 year: 2019 end-page: 62758 ident: bib13 article-title: Direct model predictive control of novel H-bridge multilevel inverter based grid-connected photovoltaic system publication-title: IEEE Access – volume: 35 start-page: 1 year: 2022 end-page: 16 ident: bib31 article-title: Fast and optimal tuning of fractional order PID controller for AVR system based on memorizable-smoothed functional algorithm publication-title: Eng. Sci. Technol., Int. J. – volume: 58 start-page: 2883 year: 2010 end-page: 2897 ident: bib8 article-title: Design of robust digital PID controller for H-bridge soft-switching boost converter’ publication-title: IEEE Trans. Ind. Electron. – volume: 12 start-page: 52 year: 2022 ident: bib50 article-title: Power management for connected EVs using a fuzzy logic controller and artificial neural network publication-title: Appl. Sci. – volume: 62 start-page: 19 year: 2016 end-page: 29 ident: bib46 article-title: Fractional order fuzzy control of hybrid power system with renewable generation using chaotic PSO publication-title: ISA Trans. – start-page: 18 year: 2023 end-page: 25 ident: bib40 article-title: Design of a novel robust adaptive neural network-based fractional-order proportional-integrated-derivative controller on DC/DC Boost converter publication-title: J. Eng. – volume: 13 start-page: 3613 year: 2020 end-page: 3626 ident: bib16 article-title: Design of robust self-tuning regulator adaptive controller on single-phase full-bridge inverter publication-title: IET Power Electron. – reference: M. Babaie, M. Sharifzadeh, M. Mehrasa, K. Al-Haddad, 2019, Optimized Based Algorithm First Order Sliding Mode Control for Grid- Connected Packed E-Cell (PEC) Inverter’, 2019 IEEE Energy Conversion Congress and Exposition (ECCE), Baltimore, MD, USA, 2019, pp. 2269-2273 12. – volume: 35 start-page: 4622 year: 2020 end-page: 4631 ident: bib35 article-title: Theory and implementation of fractional order controllers for power system applications publication-title: IEEE Trans. Power Syst. – year: 2020 ident: bib41 article-title: EKF-based fuzzy sliding mode control using neural networks publication-title: 28th Iranian Conference on Electrical Engineering (ICEE) – volume: 9 start-page: 58982 year: 2021 end-page: 59009 ident: bib32 article-title: Fractional order control of power electronic converters in industrial drives and renewable energy systems: a review publication-title: IEEE Access – volume: 79 start-page: 219 year: 2017 end-page: 233 ident: bib45 article-title: Hybridized ABC-GA optimized fractional order fuzzy pre-compensated FOPID control design for 2-dof robot manipulator publication-title: AEU - Int. J. Electron. Commun. – volume: 7 start-page: 128910 year: 2019 end-page: 128924 ident: bib64 article-title: A novel adaptive weighted least square support vector regression algorithm-based identification of the ship dynamic model publication-title: IEEE Access – volume: 70 start-page: 1057 year: 2022 end-page: 1065 ident: bib52 article-title: Neural predictor-based dynamic surface predictive control for power converters publication-title: IEEE Trans. Ind. Electron. – volume: 128 year: 2022 ident: bib21 article-title: Enhanced frequency-adaptive self-tuning filter-based continuous terminal sliding mode control of single-phase dynamic voltage restorer publication-title: Control Eng. Pract. – volume: 7 start-page: 112229 year: 2019 end-page: 112239 ident: bib17 article-title: Artificial neural network based adaptive control of single phase dual active bridge with finite time disturbance compensation publication-title: IEEE Access – year: 2023 ident: bib59 article-title: Application of Machine Learning Models in Agricultural and Meteorological Sciences – volume: 11 start-page: 1 year: 2022 end-page: 31 ident: bib19 article-title: Model-based predictive control with graph theory approach applied to multilevel back-to-back cascaded h-bridge converters’ publication-title: Electronics – volume: 15 start-page: 303 year: 2022 ident: bib51 article-title: Energy management and voltage control in microgrids using artificial neural networks, PID, and fuzzy logic controllers publication-title: Energies – volume: 38 start-page: 118 year: 2023 end-page: 139 ident: bib60 article-title: CUDA implementation of the antlion optimization algorithm publication-title: Int. J. Parallel, Emerg. Distrib. Syst. – volume: 9 start-page: 1335 year: 2020 end-page: 1344 ident: bib25 article-title: Improved performance with fractional order control for asymmetrical cascaded H-bridge multilevel inverter publication-title: Bull. Electr. Eng. Inform. – volume: 9 start-page: 21016 year: 2021 end-page: 21042 ident: bib33 article-title: Towards industrialization of FOPID controllers: A survey on milestones of fractional-order control and pathways for future developments publication-title: IEEE Access – year: 2021 ident: bib22 article-title: Nonlinear backstepping based control of single- phase inverter in a standalone photovoltaic system publication-title: 2021 Int. Bhurban Conf. Appl. Sci. Technol. (IBCAST) – volume: 7 start-page: 24934 year: 2019 end-page: 24955 ident: bib27 article-title: Fuzzy logic inverter controller in photovoltaic applications: Issues and recommendations publication-title: IEEE Access – reference: H. Xi, Q. Wang, 2021, Design of back propagation neural network PID control for boost converter’, IEEE Sustainable Power and Energy Conference (ISPEC). IEEE, 2021, DOI: 10.1109/iSPEC53008.2021.9735583. – ident: 10.1016/j.asoc.2024.112142_bib14 doi: 10.1109/ICEIT48248.2020.9113183 – volume: 79 start-page: 219 year: 2017 ident: 10.1016/j.asoc.2024.112142_bib45 article-title: Hybridized ABC-GA optimized fractional order fuzzy pre-compensated FOPID control design for 2-dof robot manipulator publication-title: AEU - Int. J. Electron. Commun. doi: 10.1016/j.aeue.2017.06.008 – volume: 25 start-page: 430 year: 2012 ident: 10.1016/j.asoc.2024.112142_bib44 article-title: A novel fractional order fuzzy PID controller and its optimal time domain tuning based on integral performance indices publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2011.10.004 – volume: 231 start-page: 2059 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib43 article-title: Artificial neural networks: a practical review of applications involving fractional calculus publication-title: Eur. Phys. J. Spec. Top. doi: 10.1140/epjs/s11734-022-00455-3 – start-page: 113 year: 2021 ident: 10.1016/j.asoc.2024.112142_bib34 article-title: Fractional-order fuzzy PID controller design on buck converter with antlion optimization algorithm publication-title: IET Control Theory Appl. – ident: 10.1016/j.asoc.2024.112142_bib48 doi: 10.1109/iSPEC53008.2021.9735583 – volume: 70 start-page: 7246 issue: 7 year: 2023 ident: 10.1016/j.asoc.2024.112142_bib38 article-title: Adaptive fractional-order backstepping control for a general class of nonlinear uncertain integer-order systems publication-title: IEEE Trans. Ind. Electron. doi: 10.1109/TIE.2022.3206750 – volume: 343 start-page: 1 year: 2019 ident: 10.1016/j.asoc.2024.112142_bib4 article-title: Review of the h-bridge three-phase low power dissipation connected micro-grid network publication-title: IOP Conf. Ser., Earth Environ. Sci. doi: 10.1088/1755-1315/343/1/012190 – volume: 7 start-page: 24934 year: 2019 ident: 10.1016/j.asoc.2024.112142_bib27 article-title: Fuzzy logic inverter controller in photovoltaic applications: Issues and recommendations publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2899610 – volume: 55 start-page: 740 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib62 article-title: An Adaptive Neural Network-Based Controller to Stabilize Power Oscillations in Wind-integrated Power Systems publication-title: IFAC-Pap. Online doi: 10.1016/j.ifacol.2022.04.121 – volume: 7 start-page: 128910 year: 2019 ident: 10.1016/j.asoc.2024.112142_bib64 article-title: A novel adaptive weighted least square support vector regression algorithm-based identification of the ship dynamic model publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2940040 – volume: 70 start-page: 1057 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib52 article-title: Neural predictor-based dynamic surface predictive control for power converters publication-title: IEEE Trans. Ind. Electron. doi: 10.1109/TIE.2022.3146643 – volume: 70 start-page: 9751 issue: 10 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib20 article-title: Dual-layer modulated model predictive control scheme for the cascaded H-bridge converter publication-title: IEEE Trans. Ind. Electron. doi: 10.1109/TIE.2022.3224185 – volume: 16 start-page: 340 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib58 article-title: ‘Fractional-order fuzzy PID controller design on buck converter with antlion optimization algorithm’ publication-title: IET Control Theory Appl. doi: 10.1049/cth2.12230 – volume: 359 start-page: 4160 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib39 article-title: Robust trajectory tracking control of nonholonomic wheeled mobile robots using an adaptive fractional order parallel fuzzy PID controller publication-title: J. Frankl. Inst. doi: 10.1016/j.jfranklin.2022.03.043 – volume: 96 year: 2021 ident: 10.1016/j.asoc.2024.112142_bib49 article-title: Neural network aided fractional-order sliding mode controller for frequency regulation of nonlinear power systems publication-title: Comput. Electr. Eng. doi: 10.1016/j.compeleceng.2021.107534 – volume: 9 start-page: 1335 year: 2020 ident: 10.1016/j.asoc.2024.112142_bib25 article-title: Improved performance with fractional order control for asymmetrical cascaded H-bridge multilevel inverter publication-title: Bull. Electr. Eng. Inform. doi: 10.11591/eei.v9i4.1885 – volume: 210 year: 2023 ident: 10.1016/j.asoc.2024.112142_bib55 article-title: Determination of output current THD of multilevel inverter by ANN publication-title: Measurement doi: 10.1016/j.measurement.2023.112525 – ident: 10.1016/j.asoc.2024.112142_bib11 doi: 10.1109/ECCE.2019.8913100 – volume: 103 start-page: 2415 year: 2021 ident: 10.1016/j.asoc.2024.112142_bib29 article-title: Maximum sensitivity-constrained coefficient diagram method-based PIDA controller design: application for load frequency control of an isolated microgrid publication-title: Electr. Eng. doi: 10.1007/s00202-021-01226-4 – year: 2021 ident: 10.1016/j.asoc.2024.112142_bib22 article-title: Nonlinear backstepping based control of single- phase inverter in a standalone photovoltaic system publication-title: 2021 Int. Bhurban Conf. Appl. Sci. Technol. (IBCAST) doi: 10.1109/IBCAST51254.2021.9393189 – volume: 9 start-page: 58982 year: 2021 ident: 10.1016/j.asoc.2024.112142_bib32 article-title: Fractional order control of power electronic converters in industrial drives and renewable energy systems: a review publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3073033 – year: 2020 ident: 10.1016/j.asoc.2024.112142_bib41 article-title: EKF-based fuzzy sliding mode control using neural networks – volume: 71 start-page: 747 year: 2018 ident: 10.1016/j.asoc.2024.112142_bib42 article-title: A dynamic metaheuristic optimization model inspired by biological nervous systems: neural network algorithm publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2018.07.039 – volume: 38 start-page: 118 year: 2023 ident: 10.1016/j.asoc.2024.112142_bib60 article-title: CUDA implementation of the antlion optimization algorithm publication-title: Int. J. Parallel, Emerg. Distrib. Syst. doi: 10.1080/17445760.2023.2172576 – volume: 10 start-page: 70305 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib53 article-title: An artificial neural network-based model predictive control for three-phase flying capacitor multilevel inverter publication-title: IEEE Access doi: 10.1109/ACCESS.2022.3187996 – volume: 12 start-page: 1279 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib18 article-title: An artificial neural network-based model predictive control of cascaded h- bridge multilevel inverter’ publication-title: Int. J. Renew. Energy Res. (IJRER) – volume: 35 start-page: 10109 year: 2020 ident: 10.1016/j.asoc.2024.112142_bib15 article-title: Fault detection and localization for cascaded H-bridge multilevel converter with model predictive control publication-title: IEEE Trans. Power Electron. doi: 10.1109/TPEL.2020.2978670 – volume: vol 817 year: 2019 ident: 10.1016/j.asoc.2024.112142_bib12 article-title: Symmetrical Cascaded Switched-Diode Multilevel Inverter with Fuzzy Controller doi: 10.1007/978-981-13-1595-4_10 – volume: 8 start-page: 209212 year: 2020 ident: 10.1016/j.asoc.2024.112142_bib2 article-title: A framework for optimum determination of LCL-filter parameters for N-level voltage source inverters using heuristic approach publication-title: IEEE Access doi: 10.1109/ACCESS.2020.3038583 – volume: 11 start-page: 1 issue: 1711 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib19 article-title: Model-based predictive control with graph theory approach applied to multilevel back-to-back cascaded h-bridge converters’ publication-title: Electronics – start-page: 645 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib26 article-title: Closed-Loop Control of Cascaded H-Bridge Multilevel Inverter Using Fractional Order-PID Controller – volume: 5 start-page: 377 issue: 3 year: 2018 ident: 10.1016/j.asoc.2024.112142_bib30 article-title: Robust Intelligent Controller for Voltage Stabilization of dc-dc Boost Converters’ publication-title: Int. Res. J. Eng. Technol. – volume: 6 start-page: 185 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib5 article-title: A review on multilevel inverter topologies publication-title: Emerg. Sci. J. doi: 10.28991/ESJ-2022-06-01-014 – start-page: 1 year: 2020 ident: 10.1016/j.asoc.2024.112142_bib47 article-title: A novel design of a neural network-based fractional PID controller for mobile robots using hybridized fruit fly and particle swarm optimization publication-title: Complexity doi: 10.1155/2020/3067024 – volume: 58 start-page: 2883 year: 2010 ident: 10.1016/j.asoc.2024.112142_bib8 article-title: Design of robust digital PID controller for H-bridge soft-switching boost converter’ publication-title: IEEE Trans. Ind. Electron. doi: 10.1109/TIE.2010.2077615 – volume: 34 start-page: 9360 year: 2019 ident: 10.1016/j.asoc.2024.112142_bib10 article-title: A fuzzy logic based switching methodology for a cascaded H-bridge multi-level inverter publication-title: IEEE Trans. Power Electron. doi: 10.1109/TPEL.2019.2907226 – volume: 133 start-page: 160 year: 2023 ident: 10.1016/j.asoc.2024.112142_bib37 article-title: Adaptive fractional-order sliding-mode disturbance observer-based robust theoretical frequency controller applied to hybrid wind-diesel power system publication-title: ISA Trans. doi: 10.1016/j.isatra.2022.06.030 – volume: 11 start-page: 783 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib1 article-title: Design of a robust adaptive self-tuning regulator controller on single-phase full-bridge grid-connected inverter publication-title: Int. J. Dyn. Control doi: 10.1007/s40435-022-00963-z – volume: 7 start-page: 62750 year: 2019 ident: 10.1016/j.asoc.2024.112142_bib13 article-title: Direct model predictive control of novel H-bridge multilevel inverter based grid-connected photovoltaic system publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2916195 – volume: 128 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib21 article-title: Enhanced frequency-adaptive self-tuning filter-based continuous terminal sliding mode control of single-phase dynamic voltage restorer publication-title: Control Eng. Pract. doi: 10.1016/j.conengprac.2022.105340 – volume: 13 start-page: 3613 year: 2020 ident: 10.1016/j.asoc.2024.112142_bib16 article-title: Design of robust self-tuning regulator adaptive controller on single-phase full-bridge inverter publication-title: IET Power Electron. doi: 10.1049/iet-pel.2020.0454 – volume: 905 start-page: 79 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib61 article-title: Renewable energy sources scheduling approach for windfarm layout optimization by using ant lion optimization algorithm’ publication-title: Appl. Mech. Mater. doi: 10.4028/p-1bvgm9 – volume: 14 start-page: 1960 issue: 11 year: 2021 ident: 10.1016/j.asoc.2024.112142_bib24 article-title: Adaptive neuro-fuzzy inference systems (ANFIS) controller design on single-phase full-bridge inverter with a cascade fractional-order PID voltage controller publication-title: IET Power Electron. doi: 10.1049/pel2.12162 – volume: 70 start-page: 2176 issue: 6 year: 2023 ident: 10.1016/j.asoc.2024.112142_bib63 article-title: Finite-time synchronization and energy consumption prediction for multilayer fractional-order networks publication-title: IEEE Trans. Circuits Syst. II: Express Briefs – volume: 34 start-page: 463 year: 2017 ident: 10.1016/j.asoc.2024.112142_bib3 article-title: A comprehensive review on cascaded H-bridge inverter-based large-scale grid-connected photovoltaic publication-title: IETE Tech. Rev. doi: 10.1080/02564602.2016.1202792 – volume: 7 start-page: 112229 year: 2019 ident: 10.1016/j.asoc.2024.112142_bib17 article-title: Artificial neural network based adaptive control of single phase dual active bridge with finite time disturbance compensation publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2934253 – volume: 9 start-page: 21016 year: 2021 ident: 10.1016/j.asoc.2024.112142_bib33 article-title: Towards industrialization of FOPID controllers: A survey on milestones of fractional-order control and pathways for future developments publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3055117 – volume: 62 start-page: 19 year: 2016 ident: 10.1016/j.asoc.2024.112142_bib46 article-title: Fractional order fuzzy control of hybrid power system with renewable generation using chaotic PSO publication-title: ISA Trans. doi: 10.1016/j.isatra.2015.03.003 – volume: 35 start-page: 4192 year: 2019 ident: 10.1016/j.asoc.2024.112142_bib6 article-title: A simplified space vector pulse width modulation scheme for three-phase cascaded H-bridge inverters publication-title: IEEE Trans. Power Electron. doi: 10.1109/TPEL.2019.2934821 – volume: 12 start-page: 52 issue: 1 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib50 article-title: Power management for connected EVs using a fuzzy logic controller and artificial neural network publication-title: Appl. Sci. doi: 10.3390/app12010052 – volume: 15 start-page: 303 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib51 article-title: Energy management and voltage control in microgrids using artificial neural networks, PID, and fuzzy logic controllers publication-title: Energies doi: 10.3390/en15010303 – volume: 35 start-page: 4622 year: 2020 ident: 10.1016/j.asoc.2024.112142_bib35 article-title: Theory and implementation of fractional order controllers for power system applications publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2020.2999415 – volume: 6 start-page: 204 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib36 article-title: Design and experimental results of an adaptive fractional-order controller for a quadrotor publication-title: Fractal Fract. doi: 10.3390/fractalfract6040204 – volume: 22 start-page: 43 year: 2014 ident: 10.1016/j.asoc.2024.112142_bib9 article-title: Modeling and simulation of deadbeat-based PI controller in a single-phase H-bridge inverter for stand-alone applications publication-title: Turk. J. Electr. Eng. Comput. Sci. doi: 10.3906/elk-1206-45 – volume: 83 start-page: 80 year: 2015 ident: 10.1016/j.asoc.2024.112142_bib57 article-title: The ant lion optimizer publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2015.01.010 – volume: 128 start-page: 171 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib54 article-title: Artificial neural network-based adaptive control for a DFIG-based WECS publication-title: ISA Trans. doi: 10.1016/j.isatra.2021.11.045 – ident: 10.1016/j.asoc.2024.112142_bib56 doi: 10.1109/ICoCS.2015.7483317 – year: 2021 ident: 10.1016/j.asoc.2024.112142_bib23 article-title: Cascaded H-bridge inverters for UPS applications: Adaptive backstepping control and formal stability analysis publication-title: IEEE Control Syst. Lett. – volume: 128 start-page: 265 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib28 article-title: Optimal tuning of sigmoid PID controller using nonlinear sine cosine algorithm for the automatic voltage regulator system publication-title: ISA Trans. doi: 10.1016/j.isatra.2021.11.037 – volume: 35 start-page: 1 issue: 101264 year: 2022 ident: 10.1016/j.asoc.2024.112142_bib31 article-title: Fast and optimal tuning of fractional order PID controller for AVR system based on memorizable-smoothed functional algorithm publication-title: Eng. Sci. Technol., Int. J. – start-page: 18 issue: 4 year: 2023 ident: 10.1016/j.asoc.2024.112142_bib40 article-title: Design of a novel robust adaptive neural network-based fractional-order proportional-integrated-derivative controller on DC/DC Boost converter publication-title: J. Eng. – year: 2023 ident: 10.1016/j.asoc.2024.112142_bib59 – volume: 7 start-page: 53152 year: 2019 ident: 10.1016/j.asoc.2024.112142_bib7 article-title: Hybrid multi-carrier PWM technique based on carrier reconstruction for cascaded H-bridge inverter publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2912216 |
| SSID | ssj0016928 |
| Score | 2.4285226 |
| Snippet | Adaptive Neural Network- based Fractional-order PID Control (NN-FO-PID) approach is designed for H-bridge inverter. This inverter has an LC filter to decrease... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 112142 |
| SubjectTerms | Ant lion Optimization Algorithm Disturbance Fractional-order PID controller H-bridge inverter Neural Network structure |
| Title | Design of a optimal robust adaptive neural network-based fractional-order PID controller for H-bridge single-phase inverter |
| URI | https://dx.doi.org/10.1016/j.asoc.2024.112142 |
| Volume | 166 |
| WOSCitedRecordID | wos001307705200001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 issn: 1568-4946 databaseCode: AIEXJ dateStart: 20010601 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: false ssIdentifier: ssj0016928 providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV07b9swECbcpEOXvoumL3DoJjCwqAfJMW1SJB2CoEgBbwItUpADWTIsOQjQH9C_3aNIyorbBs3QRZAJkSZ0n49H-rvvEPqYQ8ye8lyRkGpGwPspwimjJOcJLxTjSqu4LzbBzs_5bCYuJpOfPhfmumJ1zW9uxOq_mhrawNgmdfYe5h4GhQa4B6PDFcwO138y_HHPybB5jw04hKWR7m_mm7YLpJKrnipkVCyhubYccGKWMhUUa5vkICvSC3IGF2fHnspewUdDSDwlLsPLHDFUmqxK6BosalPV2fF8vaStC29b8PM9cX3T-VXS-HfZlkVPJPgm22ZLTvwkYXEtF-5UVmqXeiX72tltKfsSxOCISrlcSjU-sqCxy90bedmUk1i4s0fvhtOxI4UwMLSyW7_5eHvccHUI0zMalDQ-3D58W1B7Z6Eb6Iee2XaVmTEyM0Zmx3iA9ilLBLjH_aOzk9nX4Q-pVPRleoeZu_wrSxXcncmfY5xR3HL5FD12Gw58ZIHyDE10_Rw98cU8sPPtL9APixvcFFhihxtscYM9brDFDb6FG7yLGwy4wVvcYMAN9rjBY9xgj5uX6PuXk8vPp8RV5iB5NJ12pGCx0EYJUcZSM8q1pUrHSioW5kIqrgSdi4RrTmWkozRSeVwYXSY-lQmj0Su0Vze1fo1wIfMwVNNIKFXESkcimouUzWHjYLYGgh-g0L_LLHey9aZ6SpX93YoHKBj6rKxoy51PJ95EmQs7bTiZAeLu6PfmXt_yFj3a_hTeob1uvdHv0cP8ulu06w8Obr8AJIumpw |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Design+of+a+optimal+robust+adaptive+neural+network-based+fractional-order+PID+controller+for+H-bridge+single-phase+inverter&rft.jtitle=Applied+soft+computing&rft.au=Kashfi%2C+Rasoul&rft.au=Balochian%2C+Saeed&rft.au=Alishahi%2C+Mohammad&rft.date=2024-11-01&rft.issn=1568-4946&rft.volume=166&rft.spage=112142&rft_id=info:doi/10.1016%2Fj.asoc.2024.112142&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_asoc_2024_112142 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1568-4946&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1568-4946&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1568-4946&client=summon |