A new approach in system and tactic design optimization of an autonomous underwater vehicle by using Multidisciplinary Design Optimization
Optimal design of an Autonomous Underwater Vehicle (AUV) consists of various subsystems and disciplines such as guidance and control, payload, hydrodynamics, power and propulsion, sizing, structure, trajectory and performance. The designed vehicle is also employed in an operational environment with...
Saved in:
| Published in: | Ocean engineering Vol. 147; pp. 517 - 530 |
|---|---|
| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
01.01.2018
|
| Subjects: | |
| ISSN: | 0029-8018, 1873-5258 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | Optimal design of an Autonomous Underwater Vehicle (AUV) consists of various subsystems and disciplines such as guidance and control, payload, hydrodynamics, power and propulsion, sizing, structure, trajectory and performance. The designed vehicle is also employed in an operational environment with tactical parameters such as distance to target, uncertainty in estimation of target position and target velocity. Multidisciplinary Design Optimization (MDO) is the best way for finding both optimum and feasible designs. In this paper, a new optimization design framework is proposed in which Multidisciplinary Feasible (MDF) as MDO framework and Particle Swarm Optimization (PSO) as optimizer were combined together for optimal and feasible conceptual design of an AUV. Initially, we found an optimal system design by using MDF-PSO methodology in engineering space for any single tactical situation (locally tactical parameters). Then the optimal off-design AUVs in tactical subspaces were found by minimizing the difference between the locally optimized objective function and sub-optimal objective function. In this framework, we have shown that not only is the tactical situation affected by AUV design parameters, but an optimal AUV for each tactical regions are also found.
•AUV is optimized in both engineering and tactic aspect.•MDF-PSO framework was proposed for optimal and feasible conceptual design of an AUV.•Multidisciplinary Feasible (MDF) was used as MDO methodology.•Particle Swarm Optimization (PSO) was used as global optimizer. |
|---|---|
| AbstractList | Optimal design of an Autonomous Underwater Vehicle (AUV) consists of various subsystems and disciplines such as guidance and control, payload, hydrodynamics, power and propulsion, sizing, structure, trajectory and performance. The designed vehicle is also employed in an operational environment with tactical parameters such as distance to target, uncertainty in estimation of target position and target velocity. Multidisciplinary Design Optimization (MDO) is the best way for finding both optimum and feasible designs. In this paper, a new optimization design framework is proposed in which Multidisciplinary Feasible (MDF) as MDO framework and Particle Swarm Optimization (PSO) as optimizer were combined together for optimal and feasible conceptual design of an AUV. Initially, we found an optimal system design by using MDF-PSO methodology in engineering space for any single tactical situation (locally tactical parameters). Then the optimal off-design AUVs in tactical subspaces were found by minimizing the difference between the locally optimized objective function and sub-optimal objective function. In this framework, we have shown that not only is the tactical situation affected by AUV design parameters, but an optimal AUV for each tactical regions are also found.
•AUV is optimized in both engineering and tactic aspect.•MDF-PSO framework was proposed for optimal and feasible conceptual design of an AUV.•Multidisciplinary Feasible (MDF) was used as MDO methodology.•Particle Swarm Optimization (PSO) was used as global optimizer. |
| Author | Mortazavi, Mehdi Bidoki, Mohsen Sabzehparvar, Mehdi |
| Author_xml | – sequence: 1 givenname: Mohsen surname: Bidoki fullname: Bidoki, Mohsen email: mohsenbidoki@aut.ac.ir – sequence: 2 givenname: Mehdi surname: Mortazavi fullname: Mortazavi, Mehdi email: mortazavi@aut.ac.ir – sequence: 3 givenname: Mehdi surname: Sabzehparvar fullname: Sabzehparvar, Mehdi email: sabzeh@aut.ac.ir |
| BookMark | eNqFkN1u1DAQhS1UJLaFV0B-gSzjmDixxAVV-SlSUW_gOpq1J9tZZe3IdlptH4GnJssWCXHTq9EczTk6852LsxADCfFWwVqBMu926-gIA4XtugbVLuIaGnghVqprddXUTXcmVgC1rTpQ3StxnvMOAIwBvRK_LmWgB4nTlCK6O8lB5kMutJcYvCzoCjvpKfM2yDgV3vMjFo7LMiwXEucSQ9zHOcs5eEoPWCjJe7pjN5LcHOScOWzl93ks7Dk7nkYOmA7y0yny9p_I1-LlgGOmN0_zQvz88vnH1XV1c_v129XlTeV0o0o1eOvRoiZEr7WD1qLBZmNrZ4yzxmjsho1zULfgNzUMMHjXqvfowJC12uoLYU65LsWcEw39lHi_lOoV9Eei_a7_S7Q_Ej3qC9HF-OE_o-Pyp3pJyOPz9o8nOy3P3TOlfuFBwZHnRK70PvJzEb8B-oCeCQ |
| CitedBy_id | crossref_primary_10_1007_s11465_019_0578_2 crossref_primary_10_1016_j_oceaneng_2021_109050 crossref_primary_10_1016_j_engappai_2023_106951 crossref_primary_10_1016_j_oceaneng_2025_120778 crossref_primary_10_1002_adfm_201808114 crossref_primary_10_1177_09544070241230726 crossref_primary_10_1016_j_oceaneng_2024_118194 crossref_primary_10_1080_19942060_2024_2325494 crossref_primary_10_1016_j_mechmachtheory_2022_105088 crossref_primary_10_1016_j_oceaneng_2024_119298 crossref_primary_10_3390_jmse9050478 crossref_primary_10_1007_s13344_021_0055_7 crossref_primary_10_1109_TMECH_2022_3143125 crossref_primary_10_3390_jmse11101869 crossref_primary_10_3390_sym15101875 |
| Cites_doi | 10.1016/j.oceaneng.2015.06.011 10.1109/JOE.2008.2004761 10.2514/1.J051895 10.1016/j.oceaneng.2008.08.008 10.1007/s00158-009-0381-5 10.1109/ICNN.1995.488968 |
| ContentType | Journal Article |
| Copyright | 2017 Elsevier Ltd |
| Copyright_xml | – notice: 2017 Elsevier Ltd |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.oceaneng.2017.10.050 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Oceanography |
| EISSN | 1873-5258 |
| EndPage | 530 |
| ExternalDocumentID | 10_1016_j_oceaneng_2017_10_050 S0029801817306637 |
| GroupedDBID | --K --M -~X .DC .~1 0R~ 123 1B1 1~. 1~5 4.4 457 4G. 5VS 7-5 71M 8P~ 9JM 9JN AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAXUO ABFYP ABJNI ABLST ABMAC ABYKQ ACDAQ ACGFS ACRLP ADBBV ADEZE ADTZH AEBSH AECPX AEKER AENEX AFKWA AFTJW AFXIZ AGHFR AGUBO AGYEJ AHEUO AHHHB AHJVU AIEXJ AIKHN AITUG AJBFU AJOXV AKIFW ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AXJTR BJAXD BKOJK BLECG BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 FDB FIRID FNPLU FYGXN G-Q GBLVA IHE J1W JJJVA KCYFY KOM LY6 LY7 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 RIG ROL RPZ SDF SDG SES SPC SPCBC SSJ SST SSZ T5K TAE TN5 XPP ZMT ~02 ~G- 29N 6TJ 9DU AAQXK AATTM AAXKI AAYWO AAYXX ABFNM ABWVN ABXDB ACKIV ACLOT ACNNM ACRPL ACVFH ADCNI ADMUD ADNMO AEIPS AEUPX AFFNX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP ASPBG AVWKF AZFZN CITATION EFKBS FEDTE FGOYB G-2 HVGLF HZ~ R2- SAC SET SEW WUQ ~HD |
| ID | FETCH-LOGICAL-c351t-fd9da9a3eaad33c079a6a5b92c66c9663a8fbcc0270db20f0fdc714ac06e99393 |
| ISICitedReferencesCount | 20 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000423649000041&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0029-8018 |
| IngestDate | Tue Nov 18 22:24:25 EST 2025 Sat Nov 29 07:28:03 EST 2025 Fri Feb 23 02:47:44 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Tactical subspace PSO Autonomous underwater vehicle MDF Multidisciplinary design optimization |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c351t-fd9da9a3eaad33c079a6a5b92c66c9663a8fbcc0270db20f0fdc714ac06e99393 |
| PageCount | 14 |
| ParticipantIDs | crossref_primary_10_1016_j_oceaneng_2017_10_050 crossref_citationtrail_10_1016_j_oceaneng_2017_10_050 elsevier_sciencedirect_doi_10_1016_j_oceaneng_2017_10_050 |
| PublicationCentury | 2000 |
| PublicationDate | 2018-01-01 2018-01-00 |
| PublicationDateYYYYMMDD | 2018-01-01 |
| PublicationDate_xml | – month: 01 year: 2018 text: 2018-01-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationTitle | Ocean engineering |
| PublicationYear | 2018 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | de Barros, Dantas, Pascoal, de Sa (bib5) 2008; 33 Belegundu, Halberg, Yukish, Simpson (bib2) 2000 McAllister, Simpson, Kurtz, Yukish (bib14) 2002 Urick (bib17) 1983 Agte, Weck, Sobieszczanski-Sobieski, Arendsen, Morris, Spieck (bib1) 2010; 40 Martins, Lambe (bib13) 2013; 51 Bobber (bib4) 1974 Luo, Lyu (bib12) 2015 de Barros, Pascoal, de Sa (bib6) 2008; 35 Yukish, Bennett, Simpson (bib19) 2000 Zhang, Zhang, Ying (bib20) 2013 Rao (bib16) 2009 Hoerner (bib10) 1985 Paster (bib15) 1986; 18 Frits (bib8) 2004 Kennedy, Eberhart (bib11) 1995 Waite (bib18) 2002 Fitzgerald, Weston, Putnam, Mavris (bib7) 2002 Benanzer, Grandhi, Riley (bib3) 2008 Hoak, Finck (bib9) 1978 Hoerner (10.1016/j.oceaneng.2017.10.050_bib10) 1985 Kennedy (10.1016/j.oceaneng.2017.10.050_bib11) 1995 de Barros (10.1016/j.oceaneng.2017.10.050_bib5) 2008; 33 Fitzgerald (10.1016/j.oceaneng.2017.10.050_bib7) 2002 Zhang (10.1016/j.oceaneng.2017.10.050_bib20) 2013 Paster (10.1016/j.oceaneng.2017.10.050_bib15) 1986; 18 Bobber (10.1016/j.oceaneng.2017.10.050_bib4) 1974 McAllister (10.1016/j.oceaneng.2017.10.050_bib14) 2002 Rao (10.1016/j.oceaneng.2017.10.050_bib16) 2009 Agte (10.1016/j.oceaneng.2017.10.050_bib1) 2010; 40 Luo (10.1016/j.oceaneng.2017.10.050_bib12) 2015 Waite (10.1016/j.oceaneng.2017.10.050_bib18) 2002 Martins (10.1016/j.oceaneng.2017.10.050_bib13) 2013; 51 Belegundu (10.1016/j.oceaneng.2017.10.050_bib2) 2000 Yukish (10.1016/j.oceaneng.2017.10.050_bib19) 2000 Urick (10.1016/j.oceaneng.2017.10.050_bib17) 1983 Benanzer (10.1016/j.oceaneng.2017.10.050_bib3) 2008 Frits (10.1016/j.oceaneng.2017.10.050_bib8) 2004 de Barros (10.1016/j.oceaneng.2017.10.050_bib6) 2008; 35 Hoak (10.1016/j.oceaneng.2017.10.050_bib9) 1978 |
| References_xml | – year: 2000 ident: bib2 article-title: Attribute-based multidisciplinary optimization of undersea vehicles publication-title: Proceedings of the 8th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization – year: 1985 ident: bib10 article-title: Fluid Dynamic Lift: Practical Information on Aerodynamic and Hydrodynamic Lift – year: 2004 ident: bib8 article-title: Formulation of an Integrated Robust Design and Tactics Optimization Process for Undersea Weapon Systems – year: 2000 ident: bib19 article-title: Requirements on MDO imposed by the undersea vehicle conceptual design problem publication-title: Proceedings of the 8th AIAA Symposium on Multidisciplinary Analysis and Optimization, 6–8 Sept – volume: 51 start-page: 2049 year: 2013 end-page: 2075 ident: bib13 article-title: Multidisciplinary design optimization: a survey of architectures publication-title: AIAA – start-page: 686 year: 2015 end-page: 697 ident: bib12 article-title: An application of multidisciplinary design optimization to the hydrodynamic performances of underwater robots publication-title: Ocean. Eng. – year: 2009 ident: bib16 article-title: Engineering Optimization, Theory and Practice – year: 2008 ident: bib3 article-title: System level optimization of undersea vehicles subject to mission performance publication-title: Proceedings of the 12th AIAA Multidisciplinary Analysis and Optimization Conference – year: 2002 ident: bib18 article-title: Sonar for Practicing Engineers – year: 2013 ident: bib20 article-title: Torpedo guidance system multidisciplinary design based on IDF publication-title: Proceedings of the Fifth International Conference on Intelligent Human Machine Systems and Cybernetics – year: 1995 ident: bib11 article-title: Particle Swarm Optimization publication-title: Proceedings of the IEEE International Conference on Neural Networks – year: 1974 ident: bib4 article-title: Approximation to the Directivity Index – volume: 33 start-page: 538 year: 2008 end-page: 549 ident: bib5 article-title: Investigation of normal force and moment coefficients for an AUV at nonlinear angle of attack and sideslip range publication-title: Ocean. Eng. IEEE J. – volume: 40 start-page: 17 year: 2010 end-page: 33 ident: bib1 article-title: MDO assessment and direction for advancement an opinion of one international group publication-title: Struct. Multidisc. Optim. – volume: 35 start-page: 1627 year: 2008 end-page: 1636 ident: bib6 article-title: Investigation of a method for predicting AUV erivatives publication-title: Ocean. Eng. – year: 2002 ident: bib7 article-title: A conceptual design environment for technology selection and performance optimization for torpedoes publication-title: Proceedings of the 9th AIAA Symposium on Multidisciplinary Analysis and Optimization – year: 2002 ident: bib14 article-title: Multidisciplinary design optimization testbed based on autonomous underwater vehicle design publication-title: Proceedings of the 9th AIAA Symposium on Multidisciplinary Analysis and Optimization – year: 1983 ident: bib17 article-title: Principles of Underwater Sound – year: 1978 ident: bib9 article-title: USAF Stability and Control Datcom – volume: 18 start-page: 1413 year: 1986 end-page: 1422 ident: bib15 article-title: Importance of hydrodynamic considerations for underwater vehicle design publication-title: MTS/IEEE Oceans – year: 2000 ident: 10.1016/j.oceaneng.2017.10.050_bib2 article-title: Attribute-based multidisciplinary optimization of undersea vehicles – start-page: 686 year: 2015 ident: 10.1016/j.oceaneng.2017.10.050_bib12 article-title: An application of multidisciplinary design optimization to the hydrodynamic performances of underwater robots publication-title: Ocean. Eng. doi: 10.1016/j.oceaneng.2015.06.011 – year: 1983 ident: 10.1016/j.oceaneng.2017.10.050_bib17 – year: 2004 ident: 10.1016/j.oceaneng.2017.10.050_bib8 – year: 2002 ident: 10.1016/j.oceaneng.2017.10.050_bib14 article-title: Multidisciplinary design optimization testbed based on autonomous underwater vehicle design – volume: 33 start-page: 538 issue: No. 4 year: 2008 ident: 10.1016/j.oceaneng.2017.10.050_bib5 article-title: Investigation of normal force and moment coefficients for an AUV at nonlinear angle of attack and sideslip range publication-title: Ocean. Eng. IEEE J. doi: 10.1109/JOE.2008.2004761 – year: 2000 ident: 10.1016/j.oceaneng.2017.10.050_bib19 article-title: Requirements on MDO imposed by the undersea vehicle conceptual design problem – year: 1985 ident: 10.1016/j.oceaneng.2017.10.050_bib10 – year: 2013 ident: 10.1016/j.oceaneng.2017.10.050_bib20 article-title: Torpedo guidance system multidisciplinary design based on IDF – volume: 51 start-page: 2049 issue: 9 year: 2013 ident: 10.1016/j.oceaneng.2017.10.050_bib13 article-title: Multidisciplinary design optimization: a survey of architectures publication-title: AIAA doi: 10.2514/1.J051895 – volume: 35 start-page: 1627 issue: No. 16 year: 2008 ident: 10.1016/j.oceaneng.2017.10.050_bib6 article-title: Investigation of a method for predicting AUV erivatives publication-title: Ocean. Eng. doi: 10.1016/j.oceaneng.2008.08.008 – volume: 18 start-page: 1413 year: 1986 ident: 10.1016/j.oceaneng.2017.10.050_bib15 article-title: Importance of hydrodynamic considerations for underwater vehicle design publication-title: MTS/IEEE Oceans – volume: 40 start-page: 17 year: 2010 ident: 10.1016/j.oceaneng.2017.10.050_bib1 article-title: MDO assessment and direction for advancement an opinion of one international group publication-title: Struct. Multidisc. Optim. doi: 10.1007/s00158-009-0381-5 – year: 1978 ident: 10.1016/j.oceaneng.2017.10.050_bib9 – year: 2009 ident: 10.1016/j.oceaneng.2017.10.050_bib16 – year: 1995 ident: 10.1016/j.oceaneng.2017.10.050_bib11 article-title: Particle Swarm Optimization doi: 10.1109/ICNN.1995.488968 – year: 2002 ident: 10.1016/j.oceaneng.2017.10.050_bib18 – year: 1974 ident: 10.1016/j.oceaneng.2017.10.050_bib4 – year: 2002 ident: 10.1016/j.oceaneng.2017.10.050_bib7 article-title: A conceptual design environment for technology selection and performance optimization for torpedoes – year: 2008 ident: 10.1016/j.oceaneng.2017.10.050_bib3 article-title: System level optimization of undersea vehicles subject to mission performance |
| SSID | ssj0006603 |
| Score | 2.2838228 |
| Snippet | Optimal design of an Autonomous Underwater Vehicle (AUV) consists of various subsystems and disciplines such as guidance and control, payload, hydrodynamics,... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 517 |
| SubjectTerms | Autonomous underwater vehicle MDF Multidisciplinary design optimization PSO Tactical subspace |
| Title | A new approach in system and tactic design optimization of an autonomous underwater vehicle by using Multidisciplinary Design Optimization |
| URI | https://dx.doi.org/10.1016/j.oceaneng.2017.10.050 |
| Volume | 147 |
| WOSCitedRecordID | wos000423649000041&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 customDbUrl: eissn: 1873-5258 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0006603 issn: 0029-8018 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1db9MwFLWqjgdAQjBAjC_5gbcqI42T2H6sYAgQbDwMqW-RYztqp5FUXVvGfgL_g__JvbHzUTYx9kAfosppbureU_v65p5jQl4xXhSFYTIQ1kRBnBgd5MryIE5ToePQAKRrEddP_PBQTKfyy2Dwq-HCbE55WYrzc7n4r66GNnA2Umdv4O7WKDTAe3A6HMHtcPwnx09wl_BWKxzzGU6t2dVK1pyokanrNkYVjBffPBGzLggoR2q9QpoDFsYivWz5XaGK4sbO8DYYq67r5ELN291i9L51Jo96JvuB75HGlL_t1A-77Lyp3NbZn6vZWUdMwypgdaE27pSdmXmbDFL5hZ0t6k2Ntk_67MVY9LIXDZtA4iwptkZkJ8Lpx9TEkTv99Jy4xziXRn6XhDjZr7A70Bus2uP7WLjnhG23pbb_mALbwsSm5u0ka-xkaAcasxAzQzsRT6QYkp3Jh4Ppx3bKT9OQNbVE2JkeFf3qb3R1FNSLbI7vk3t-SUInDkoPyMCWu-ROT6hyl9yt3efVzR-SnxMKGKMNxui8pA5jFDBGHcaowxjtY4xWBXyCdhijHcaoxxjNf9AaY_QSxqjDGO1j7BH5-u7g-M37wG_qEWiWjFdBYaRRUjGrlGFMh1yqVCW5jHSaalh7MyWKXOsw4qHJo7AIC6P5OFY6TC3E0pI9JsOyKu0TQlWuZJyqSBQa1_mRgFfCwwgMxoliZo8kzY-caa94jxuvnGZ_d_Meed1et3CaL9deIRsfZj5ydRFpBvC85tqnN77bM3K7-ys9J8PVcm1fkFt6s5qfLV96bP4G8EjHlw |
| 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=A+new+approach+in+system+and+tactic+design+optimization+of+an+autonomous+underwater+vehicle+by+using+Multidisciplinary+Design+Optimization&rft.jtitle=Ocean+engineering&rft.au=Bidoki%2C+Mohsen&rft.au=Mortazavi%2C+Mehdi&rft.au=Sabzehparvar%2C+Mehdi&rft.date=2018-01-01&rft.issn=0029-8018&rft.volume=147&rft.spage=517&rft.epage=530&rft_id=info:doi/10.1016%2Fj.oceaneng.2017.10.050&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_oceaneng_2017_10_050 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0029-8018&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0029-8018&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0029-8018&client=summon |