An Integrated Observer Framework Based Mechanical Parameters Identification for Adaptive Control of Permanent Magnet Synchronous Motor
An integrated observer framework based mechanical parameters identification approach for adaptive control of permanent magnet synchronous motors is proposed in this paper. Firstly, an integrated observer framework is established for mechanical parameters’ estimation, which consists of an extended sl...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2022-12-01
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| Series: | Complex System Modeling and Simulation |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.23919/CSMS.2022.0022 |
| _version_ | 1797952247538122752 |
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| author | Zhong Liao Zhaohua Liu Lei Chen Mingyang Lyu Dian Wang Faming Wu Zhengheng Wang Hualiang Wei |
| author_facet | Zhong Liao Zhaohua Liu Lei Chen Mingyang Lyu Dian Wang Faming Wu Zhengheng Wang Hualiang Wei |
| author_sort | Zhong Liao |
| collection | DOAJ |
| description | An integrated observer framework based mechanical parameters identification approach for adaptive control of permanent magnet synchronous motors is proposed in this paper. Firstly, an integrated observer framework is established for mechanical parameters’ estimation, which consists of an extended sliding mode observer (ESMO) and a Luenberger observer. Aiming at minimizing the influence of parameters coupling, the viscous friction and the moment of inertia are obtained by ESMO and the load torque is identified by Luenberger observer separately. After obtaining estimates of the mechanical parameters, the optimal proportional integral (PI) parameters of the speed-loop are determined according to third-order best design method. As a result, the controller can adjust the PI parameters in real time according to the parameter changes to realize the adaptive control of the system. Meanwhile, the disturbance is compensated according to the estimates. Finally, the experiments were carried out on simulation platform, and the experimental results validated the reliability of parameter identification and the efficiency of the adaptive control strategy presented in this paper. |
| first_indexed | 2024-04-10T22:42:56Z |
| format | Article |
| id | doaj.art-f6e4b45cfd58409db9530e5ce20b06e2 |
| institution | Directory Open Access Journal |
| issn | 2096-9929 |
| language | English |
| last_indexed | 2024-04-10T22:42:56Z |
| publishDate | 2022-12-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Complex System Modeling and Simulation |
| spelling | doaj.art-f6e4b45cfd58409db9530e5ce20b06e22023-01-16T03:28:39ZengTsinghua University PressComplex System Modeling and Simulation2096-99292022-12-012435436710.23919/CSMS.2022.0022An Integrated Observer Framework Based Mechanical Parameters Identification for Adaptive Control of Permanent Magnet Synchronous MotorZhong Liao0Zhaohua Liu1Lei Chen2Mingyang Lyu3Dian Wang4Faming Wu5Zhengheng Wang6Hualiang Wei7School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaSchool of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaSchool of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaSchool of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaWind Power Business Division, CRRC Zhuzhou Institute Co., Ltd., Zhuzhou 412001, ChinaWind Power Business Division, CRRC Zhuzhou Institute Co., Ltd., Zhuzhou 412001, ChinaSchool of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaDepartment of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, S1 3JD, UKAn integrated observer framework based mechanical parameters identification approach for adaptive control of permanent magnet synchronous motors is proposed in this paper. Firstly, an integrated observer framework is established for mechanical parameters’ estimation, which consists of an extended sliding mode observer (ESMO) and a Luenberger observer. Aiming at minimizing the influence of parameters coupling, the viscous friction and the moment of inertia are obtained by ESMO and the load torque is identified by Luenberger observer separately. After obtaining estimates of the mechanical parameters, the optimal proportional integral (PI) parameters of the speed-loop are determined according to third-order best design method. As a result, the controller can adjust the PI parameters in real time according to the parameter changes to realize the adaptive control of the system. Meanwhile, the disturbance is compensated according to the estimates. Finally, the experiments were carried out on simulation platform, and the experimental results validated the reliability of parameter identification and the efficiency of the adaptive control strategy presented in this paper.https://www.sciopen.com/article/10.23919/CSMS.2022.0022parameter identificationpermanent magnet synchronous motoradaptive controlextended sliding mode observerluenberger observer |
| spellingShingle | Zhong Liao Zhaohua Liu Lei Chen Mingyang Lyu Dian Wang Faming Wu Zhengheng Wang Hualiang Wei An Integrated Observer Framework Based Mechanical Parameters Identification for Adaptive Control of Permanent Magnet Synchronous Motor Complex System Modeling and Simulation parameter identification permanent magnet synchronous motor adaptive control extended sliding mode observer luenberger observer |
| title | An Integrated Observer Framework Based Mechanical Parameters Identification for Adaptive Control of Permanent Magnet Synchronous Motor |
| title_full | An Integrated Observer Framework Based Mechanical Parameters Identification for Adaptive Control of Permanent Magnet Synchronous Motor |
| title_fullStr | An Integrated Observer Framework Based Mechanical Parameters Identification for Adaptive Control of Permanent Magnet Synchronous Motor |
| title_full_unstemmed | An Integrated Observer Framework Based Mechanical Parameters Identification for Adaptive Control of Permanent Magnet Synchronous Motor |
| title_short | An Integrated Observer Framework Based Mechanical Parameters Identification for Adaptive Control of Permanent Magnet Synchronous Motor |
| title_sort | integrated observer framework based mechanical parameters identification for adaptive control of permanent magnet synchronous motor |
| topic | parameter identification permanent magnet synchronous motor adaptive control extended sliding mode observer luenberger observer |
| url | https://www.sciopen.com/article/10.23919/CSMS.2022.0022 |
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