CFHBA-PID Algorithm: Dual-Loop PID Balancing Robot Attitude Control Algorithm Based on Complementary Factor and Honey Badger Algorithm
The PID control algorithm for balancing robot attitude control suffers from the problem of difficult parameter tuning. Previous studies have proposed using metaheuristic algorithms to tune the PID parameters. However, traditional metaheuristic algorithms are subject to the criticism of premature con...
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| Published in: | Sensors (Basel, Switzerland) Vol. 22; no. 12; p. 4492 |
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| Abstract | The PID control algorithm for balancing robot attitude control suffers from the problem of difficult parameter tuning. Previous studies have proposed using metaheuristic algorithms to tune the PID parameters. However, traditional metaheuristic algorithms are subject to the criticism of premature convergence and the possibility of falling into local optimum solutions. Therefore, the present paper proposes a CFHBA-PID algorithm for balancing robot Dual-loop PID attitude control based on Honey Badger Algorithm (HBA) and CF-ITAE. On the one hand, HBA maintains a sufficiently large population diversity throughout the search process and employs a dynamic search strategy for balanced exploration and exploitation, effectively avoiding the problems of classical intelligent optimization algorithms and serving as a global search. On the other hand, a novel complementary factor (CF) is proposed to complement integrated time absolute error (ITAE) with the overshoot amount, resulting in a new rectification indicator CF-ITAE, which balances the overshoot amount and the response time during parameter tuning. Using balancing robot as the experimental object, HBA-PID is compared with AOA-PID, WOA-PID, and PSO-PID, and the results demonstrate that HBA-PID outperforms the other three algorithms in terms of overshoot amount, stabilization time, ITAE, and convergence speed, proving that the algorithm combining HBA with PID is better than the existing mainstream algorithms. The comparative experiments using CF prove that CFHBA-PID is able to effectively control the overshoot amount in attitude control. In conclusion, the CFHBA-PID algorithm has great control and significant results when applied to the balancing robot. |
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| AbstractList | The PID control algorithm for balancing robot attitude control suffers from the problem of difficult parameter tuning. Previous studies have proposed using metaheuristic algorithms to tune the PID parameters. However, traditional metaheuristic algorithms are subject to the criticism of premature convergence and the possibility of falling into local optimum solutions. Therefore, the present paper proposes a CFHBA-PID algorithm for balancing robot Dual-loop PID attitude control based on Honey Badger Algorithm (HBA) and CF-ITAE. On the one hand, HBA maintains a sufficiently large population diversity throughout the search process and employs a dynamic search strategy for balanced exploration and exploitation, effectively avoiding the problems of classical intelligent optimization algorithms and serving as a global search. On the other hand, a novel complementary factor (CF) is proposed to complement integrated time absolute error (ITAE) with the overshoot amount, resulting in a new rectification indicator CF-ITAE, which balances the overshoot amount and the response time during parameter tuning. Using balancing robot as the experimental object, HBA-PID is compared with AOA-PID, WOA-PID, and PSO-PID, and the results demonstrate that HBA-PID outperforms the other three algorithms in terms of overshoot amount, stabilization time, ITAE, and convergence speed, proving that the algorithm combining HBA with PID is better than the existing mainstream algorithms. The comparative experiments using CF prove that CFHBA-PID is able to effectively control the overshoot amount in attitude control. In conclusion, the CFHBA-PID algorithm has great control and significant results when applied to the balancing robot. The PID control algorithm for balancing robot attitude control suffers from the problem of difficult parameter tuning. Previous studies have proposed using metaheuristic algorithms to tune the PID parameters. However, traditional metaheuristic algorithms are subject to the criticism of premature convergence and the possibility of falling into local optimum solutions. Therefore, the present paper proposes a CFHBA-PID algorithm for balancing robot Dual-loop PID attitude control based on Honey Badger Algorithm (HBA) and CF-ITAE. On the one hand, HBA maintains a sufficiently large population diversity throughout the search process and employs a dynamic search strategy for balanced exploration and exploitation, effectively avoiding the problems of classical intelligent optimization algorithms and serving as a global search. On the other hand, a novel complementary factor (CF) is proposed to complement integrated time absolute error (ITAE) with the overshoot amount, resulting in a new rectification indicator CF-ITAE, which balances the overshoot amount and the response time during parameter tuning. Using balancing robot as the experimental object, HBA-PID is compared with AOA-PID, WOA-PID, and PSO-PID, and the results demonstrate that HBA-PID outperforms the other three algorithms in terms of overshoot amount, stabilization time, ITAE, and convergence speed, proving that the algorithm combining HBA with PID is better than the existing mainstream algorithms. The comparative experiments using CF prove that CFHBA-PID is able to effectively control the overshoot amount in attitude control. In conclusion, the CFHBA-PID algorithm has great control and significant results when applied to the balancing robot.The PID control algorithm for balancing robot attitude control suffers from the problem of difficult parameter tuning. Previous studies have proposed using metaheuristic algorithms to tune the PID parameters. However, traditional metaheuristic algorithms are subject to the criticism of premature convergence and the possibility of falling into local optimum solutions. Therefore, the present paper proposes a CFHBA-PID algorithm for balancing robot Dual-loop PID attitude control based on Honey Badger Algorithm (HBA) and CF-ITAE. On the one hand, HBA maintains a sufficiently large population diversity throughout the search process and employs a dynamic search strategy for balanced exploration and exploitation, effectively avoiding the problems of classical intelligent optimization algorithms and serving as a global search. On the other hand, a novel complementary factor (CF) is proposed to complement integrated time absolute error (ITAE) with the overshoot amount, resulting in a new rectification indicator CF-ITAE, which balances the overshoot amount and the response time during parameter tuning. Using balancing robot as the experimental object, HBA-PID is compared with AOA-PID, WOA-PID, and PSO-PID, and the results demonstrate that HBA-PID outperforms the other three algorithms in terms of overshoot amount, stabilization time, ITAE, and convergence speed, proving that the algorithm combining HBA with PID is better than the existing mainstream algorithms. The comparative experiments using CF prove that CFHBA-PID is able to effectively control the overshoot amount in attitude control. In conclusion, the CFHBA-PID algorithm has great control and significant results when applied to the balancing robot. |
| Author | Li, Wei Feng, Jinkai Zheng, Rongjia Luo, Kaiqing Zhang, Yirong Lin, Jianan |
| AuthorAffiliation | 2 Guangdong Provincial Engineering Research Center for Optoelectronic Instrument, School of Electronics and Information Engineering, South China Normal University, Foshan 528225, China 1 Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, China; 20192332124@m.scnu.edu.cn (J.L.); 20192332113@m.scnu.edu.cn (R.Z.); 20192332008@m.scnu.edu.cn (Y.Z.); 20192332046@m.scnu.edu.cn (J.F.); liwei@m.scnu.edu.cn (W.L.) |
| AuthorAffiliation_xml | – name: 1 Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, China; 20192332124@m.scnu.edu.cn (J.L.); 20192332113@m.scnu.edu.cn (R.Z.); 20192332008@m.scnu.edu.cn (Y.Z.); 20192332046@m.scnu.edu.cn (J.F.); liwei@m.scnu.edu.cn (W.L.) – name: 2 Guangdong Provincial Engineering Research Center for Optoelectronic Instrument, School of Electronics and Information Engineering, South China Normal University, Foshan 528225, China |
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| Cites_doi | 10.3390/s120607468 10.1016/j.ijepes.2012.03.039 10.1007/s12555-019-0931-6 10.1007/s40430-019-2074-3 10.1016/j.future.2019.02.028 10.1016/S1474-6670(17)44994-9 10.1109/TFUZZ.2020.3041589 10.1016/j.ins.2012.10.012 10.1109/ICCEA.2010.169 10.1109/ELECSYM.2015.7380821 10.1007/s10462-017-9605-z 10.1080/00207721.2017.1306145 10.1109/ACCESS.2019.2905961 10.1016/j.future.2018.05.037 10.1016/j.matcom.2021.08.013 10.3389/fbioe.2021.817723 10.3390/s110605792 10.1109/IEMCON.2018.8614858 10.1371/journal.pone.0260977 10.1016/j.advengsoft.2016.01.008 10.1088/1757-899X/1076/1/012001 10.1007/s10489-020-01893-z 10.1007/s00521-018-3592-0 10.1109/ACCESS.2022.3146970 10.1109/MCI.2006.329691 |
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| References | Liu (ref_10) 2021; 9 Zhao (ref_27) 2019; 91 Heidari (ref_26) 2019; 97 Hashim (ref_28) 2022; 192 Loucif (ref_17) 2020; 42 Hassan (ref_3) 2022; 10 Yau (ref_9) 2012; 12 Lee (ref_4) 1998; 31 Xu (ref_30) 2003; 23 Hashim (ref_24) 2021; 51 Liu (ref_7) 2017; 48 Ali (ref_11) 2022; 20 Gozde (ref_15) 2012; 42 Hu (ref_12) 2011; 11 Hussain (ref_19) 2019; 52 ref_22 (ref_13) 2019; 7 ref_20 George (ref_16) 2022; 67 ref_1 Dorigo (ref_21) 2006; 1 Hussain (ref_31) 2019; 31 ref_2 Kavin (ref_18) 2022; 71 Wang (ref_23) 2013; 223 ref_8 Shen (ref_6) 2020; 30 ref_5 Mirjalili (ref_25) 2016; 95 Martins (ref_29) 2005; 21 Alkrwy (ref_14) 2021; 1076 |
| References_xml | – volume: 12 start-page: 7468 year: 2012 ident: ref_9 article-title: Bluetooth based chaos synchronization using particle swarm optimization and its applications to image encryption publication-title: Sensors doi: 10.3390/s120607468 – volume: 71 start-page: 2789 year: 2022 ident: ref_18 article-title: Chaotic Whale Optimized Fractional Order PID Controller Design for Desalination Process publication-title: Comput. Mater. Contin. – volume: 42 start-page: 167 year: 2012 ident: ref_15 article-title: Comparative performance analysis of Artificial Bee Colony algorithm in automatic generation control for interconnected reheat thermal power system publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2012.03.039 – volume: 20 start-page: 198 year: 2022 ident: ref_11 article-title: Collaborative Position Control of Pantograph Robot Using Particle Swarm Optimization publication-title: Int. J. Control. Autom. Syst. doi: 10.1007/s12555-019-0931-6 – volume: 42 start-page: 1 year: 2020 ident: ref_17 article-title: Whale optimizer algorithm to tune PID controller for the trajectory tracking control of robot manipulator publication-title: J. Braz. Soc. Mech. Sci. Eng. doi: 10.1007/s40430-019-2074-3 – volume: 97 start-page: 849 year: 2019 ident: ref_26 article-title: Harris hawks optimization: Algorithm and applications publication-title: Future Gener. Comput. Syst. doi: 10.1016/j.future.2019.02.028 – volume: 31 start-page: 613 year: 1998 ident: ref_4 article-title: PID controller tuning to obtain desired closed-loop responses for cascade control systems publication-title: IFAC Proc. Vol. doi: 10.1016/S1474-6670(17)44994-9 – volume: 30 start-page: 542 year: 2020 ident: ref_6 article-title: Fuzzy tracking control for Markov jump systems with mismatched faults by iterative proportional-integral observers publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2020.3041589 – volume: 223 start-page: 119 year: 2013 ident: ref_23 article-title: Diversity enhanced particle swarm optimization with neighborhood search publication-title: Inf. Sci. doi: 10.1016/j.ins.2012.10.012 – ident: ref_2 doi: 10.1109/ICCEA.2010.169 – ident: ref_5 doi: 10.1109/ELECSYM.2015.7380821 – volume: 67 start-page: 1 year: 2022 ident: ref_16 article-title: Optimal tuning of FOPID controller for higher order process using hybrid approach publication-title: Appl. Intell. – volume: 52 start-page: 2191 year: 2019 ident: ref_19 article-title: Metaheuristic research: A comprehensive survey publication-title: Artif. Intell. Rev. doi: 10.1007/s10462-017-9605-z – volume: 21 start-page: 8 year: 2005 ident: ref_29 article-title: Tuning PID controllers using the ITAE criterion publication-title: Int. J. Eng. Educ. – volume: 48 start-page: 2168 year: 2017 ident: ref_7 article-title: Non-fragile multivariable PID controller design via system augmentation publication-title: Int. J. Syst. Sci. doi: 10.1080/00207721.2017.1306145 – volume: 7 start-page: 38100 year: 2019 ident: ref_13 article-title: Optimal tuning of fractional order PID controller for DC motor speed control via chaotic atom search optimization algorithm publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2905961 – volume: 91 start-page: 601 year: 2019 ident: ref_27 article-title: A novel atom search optimization for dispersion coefficient estimation in groundwater publication-title: Future Gener. Comput. Syst. doi: 10.1016/j.future.2018.05.037 – volume: 192 start-page: 84 year: 2022 ident: ref_28 article-title: Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems publication-title: Math. Comput. Simul. doi: 10.1016/j.matcom.2021.08.013 – volume: 9 start-page: 817723 year: 2021 ident: ref_10 article-title: Self-tuning Control of Manipulator Positioning Based on Fuzzy PID and PSO Algorithm publication-title: Front. Bioeng. Biotechnol. doi: 10.3389/fbioe.2021.817723 – volume: 11 start-page: 5792 year: 2011 ident: ref_12 article-title: Multi-objective control optimization for greenhouse environment using evolutionary algorithms publication-title: Sensors doi: 10.3390/s110605792 – ident: ref_1 doi: 10.1109/IEMCON.2018.8614858 – ident: ref_8 doi: 10.1371/journal.pone.0260977 – volume: 95 start-page: 51 year: 2016 ident: ref_25 article-title: The whale optimization algorithm publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2016.01.008 – volume: 23 start-page: 206 year: 2003 ident: ref_30 article-title: Comparing and optimum seeking of pid tuning methods base on itae index publication-title: Proc. CSEE – volume: 1076 start-page: 012001 year: 2021 ident: ref_14 article-title: Adaptive tuning of PID controller using crow Search algorithm for DC motor publication-title: IOP Conference Series: Materials Science and Engineering doi: 10.1088/1757-899X/1076/1/012001 – ident: ref_22 – volume: 51 start-page: 1531 year: 2021 ident: ref_24 article-title: Archimedes optimization algorithm: A new metaheuristic algorithm for solving optimization problems publication-title: Appl. Intell. doi: 10.1007/s10489-020-01893-z – volume: 31 start-page: 7665 year: 2019 ident: ref_31 article-title: On the exploration and exploitation in popular swarm-based metaheuristic algorithms publication-title: Neural Comput. Appl. doi: 10.1007/s00521-018-3592-0 – ident: ref_20 – volume: 10 start-page: 13582 year: 2022 ident: ref_3 article-title: Neural Network-Based Adaptive Controller for Trajectory Tracking of Wheeled Mobile Robots publication-title: IEEE Access doi: 10.1109/ACCESS.2022.3146970 – volume: 1 start-page: 28 year: 2006 ident: ref_21 article-title: Ant colony optimization publication-title: IEEE Comput. Intell. Mag. doi: 10.1109/MCI.2006.329691 |
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| SubjectTerms | balancing robot CF-ITAE complementary factor Control algorithms Controllers Dual-loop PID control Genetic algorithms honey badger algorithm metaheuristic algorithms Optimization algorithms Roads & highways Robotics Robots |
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| Title | CFHBA-PID Algorithm: Dual-Loop PID Balancing Robot Attitude Control Algorithm Based on Complementary Factor and Honey Badger Algorithm |
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