PID controller enhanced with artificial bee colony algorithm for active magnetic bearing
To reduce the effect of non-linearity in air gap control in active magnetic bearings (AMB). The PID controller for the AMB is proposed in this study, which is optimized with a reformative artificial bee colony (RABC) algorithm. The RABC algorithm balances the exploitation and exploration capabilitie...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-12-01
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| Series: | Systems Science & Control Engineering |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/21642583.2022.2102552 |
| _version_ | 1818012834670313472 |
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| author | Hualong Du Qiuyu Cui Pengfei Liu Xin Ma He Wang |
| author_facet | Hualong Du Qiuyu Cui Pengfei Liu Xin Ma He Wang |
| author_sort | Hualong Du |
| collection | DOAJ |
| description | To reduce the effect of non-linearity in air gap control in active magnetic bearings (AMB). The PID controller for the AMB is proposed in this study, which is optimized with a reformative artificial bee colony (RABC) algorithm. The RABC algorithm balances the exploitation and exploration capabilities of the ABC algorithm by introducing globally optimal solutions and improved food source probabilities. Simulation with six benchmark functions validates the proposed algorithm, and the results reveal that the RABC algorithm has higher search accuracy and faster search speed than previous ABC algorithm versions. The experimental results show that RABC-PID outperforms the other four approaches and has greater robustness when compared to traditional PID, PSO-PID, DE-PID, and GA-PID. Meanwhile, the RABC-PID controller makes the AMB system more stable. |
| first_indexed | 2024-04-14T06:25:28Z |
| format | Article |
| id | doaj.art-cc6bafc3c798413d9567b3ee9367b2e2 |
| institution | Directory Open Access Journal |
| issn | 2164-2583 |
| language | English |
| last_indexed | 2024-04-14T06:25:28Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Systems Science & Control Engineering |
| spelling | doaj.art-cc6bafc3c798413d9567b3ee9367b2e22022-12-22T02:07:51ZengTaylor & Francis GroupSystems Science & Control Engineering2164-25832022-12-0110168669710.1080/21642583.2022.2102552PID controller enhanced with artificial bee colony algorithm for active magnetic bearingHualong Du0Qiuyu Cui1Pengfei Liu2Xin Ma3He Wang4School of Mechanical Engineering and Automation, University of Science and Technology Liaoning, Anshan, People’s Republic of ChinaSchool of Mechanical Engineering and Automation, University of Science and Technology Liaoning, Anshan, People’s Republic of ChinaSchool of Mechanical Engineering and Automation, University of Science and Technology Liaoning, Anshan, People’s Republic of ChinaSchool of Mechanical Engineering and Automation, University of Science and Technology Liaoning, Anshan, People’s Republic of ChinaSchool of Mechanical Engineering and Automation, University of Science and Technology Liaoning, Anshan, People’s Republic of ChinaTo reduce the effect of non-linearity in air gap control in active magnetic bearings (AMB). The PID controller for the AMB is proposed in this study, which is optimized with a reformative artificial bee colony (RABC) algorithm. The RABC algorithm balances the exploitation and exploration capabilities of the ABC algorithm by introducing globally optimal solutions and improved food source probabilities. Simulation with six benchmark functions validates the proposed algorithm, and the results reveal that the RABC algorithm has higher search accuracy and faster search speed than previous ABC algorithm versions. The experimental results show that RABC-PID outperforms the other four approaches and has greater robustness when compared to traditional PID, PSO-PID, DE-PID, and GA-PID. Meanwhile, the RABC-PID controller makes the AMB system more stable.https://www.tandfonline.com/doi/10.1080/21642583.2022.2102552Artificial bee colony algorithmactive magnetic bearingPID controllerRABC algorithmparameter optimization |
| spellingShingle | Hualong Du Qiuyu Cui Pengfei Liu Xin Ma He Wang PID controller enhanced with artificial bee colony algorithm for active magnetic bearing Systems Science & Control Engineering Artificial bee colony algorithm active magnetic bearing PID controller RABC algorithm parameter optimization |
| title | PID controller enhanced with artificial bee colony algorithm for active magnetic bearing |
| title_full | PID controller enhanced with artificial bee colony algorithm for active magnetic bearing |
| title_fullStr | PID controller enhanced with artificial bee colony algorithm for active magnetic bearing |
| title_full_unstemmed | PID controller enhanced with artificial bee colony algorithm for active magnetic bearing |
| title_short | PID controller enhanced with artificial bee colony algorithm for active magnetic bearing |
| title_sort | pid controller enhanced with artificial bee colony algorithm for active magnetic bearing |
| topic | Artificial bee colony algorithm active magnetic bearing PID controller RABC algorithm parameter optimization |
| url | https://www.tandfonline.com/doi/10.1080/21642583.2022.2102552 |
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