Position Sensorless Control of Permanent Magnet Synchronous Motor Based on Improved Model Reference Adaptive Systems
To address the issues of poor stability and susceptibility to external disturbances in traditional model reference adaptive systems (MRASs) for permanent magnet synchronous motors (PMSMs), this paper proposes a sliding mode control strategy based on an improved model reference adaptive observer. Fir...
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| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/10/2531 |
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| author | Meng Wang Jian Liu Lijun Jiang Kun Tan Yiyong Wang |
| author_facet | Meng Wang Jian Liu Lijun Jiang Kun Tan Yiyong Wang |
| author_sort | Meng Wang |
| collection | DOAJ |
| description | To address the issues of poor stability and susceptibility to external disturbances in traditional model reference adaptive systems (MRASs) for permanent magnet synchronous motors (PMSMs), this paper proposes a sliding mode control strategy based on an improved model reference adaptive observer. First, the dynamic equations of the PMSM are used as the reference model, while the stator current equations incorporating speed variables are constructed as the adjustable model. Subsequently, a novel adaptive law is designed using Popov’s hyperstability theory to enhance the estimation accuracy of rotor position. A fractional-order system was introduced to construct both a fractional-order sliding surface and reaching law. Subsequently, a comparative study was conducted between the conventional integral terminal sliding surface and the proposed novel sliding mode reaching law. The results demonstrate that the new reaching law can adaptively adjust the switching gain based on system state variables. Under sudden load increases, the improved system achieves a 25% reduction in settling time compared to conventional sliding mode control (SMC), along with a 44% decrease in maximum speed fluctuation and a 42% reduction in maximum torque ripple, significantly enhancing dynamic response performance. Furthermore, a variable-gain terminal sliding mode controller is derived, and the stability of the closed-loop control system is rigorously proven using Lyapunov theory. Finally, simulations verify the effectiveness and feasibility of the proposed control strategy in improving system robustness and disturbance rejection capability. |
| format | Article |
| id | doaj-art-ad8ac9aa73e346b7ba843b5fb37cf49a |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-ad8ac9aa73e346b7ba843b5fb37cf49a2025-08-20T01:56:19ZengMDPI AGEnergies1996-10732025-05-011810253110.3390/en18102531Position Sensorless Control of Permanent Magnet Synchronous Motor Based on Improved Model Reference Adaptive SystemsMeng Wang0Jian Liu1Lijun Jiang2Kun Tan3Yiyong Wang4School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, ChinaSchool of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, ChinaShandong Shanbo Electric Machine Group Co., Ltd., Zibo 255000, ChinaShandong Institute of Information Technology Industry Development, Jinan 250000, ChinaShandong Shanbo Electric Machine Group Co., Ltd., Zibo 255000, ChinaTo address the issues of poor stability and susceptibility to external disturbances in traditional model reference adaptive systems (MRASs) for permanent magnet synchronous motors (PMSMs), this paper proposes a sliding mode control strategy based on an improved model reference adaptive observer. First, the dynamic equations of the PMSM are used as the reference model, while the stator current equations incorporating speed variables are constructed as the adjustable model. Subsequently, a novel adaptive law is designed using Popov’s hyperstability theory to enhance the estimation accuracy of rotor position. A fractional-order system was introduced to construct both a fractional-order sliding surface and reaching law. Subsequently, a comparative study was conducted between the conventional integral terminal sliding surface and the proposed novel sliding mode reaching law. The results demonstrate that the new reaching law can adaptively adjust the switching gain based on system state variables. Under sudden load increases, the improved system achieves a 25% reduction in settling time compared to conventional sliding mode control (SMC), along with a 44% decrease in maximum speed fluctuation and a 42% reduction in maximum torque ripple, significantly enhancing dynamic response performance. Furthermore, a variable-gain terminal sliding mode controller is derived, and the stability of the closed-loop control system is rigorously proven using Lyapunov theory. Finally, simulations verify the effectiveness and feasibility of the proposed control strategy in improving system robustness and disturbance rejection capability.https://www.mdpi.com/1996-1073/18/10/2531permanent magnet synchronous motorvector controlmodel reference adaptivesliding mode controlsensorless control |
| spellingShingle | Meng Wang Jian Liu Lijun Jiang Kun Tan Yiyong Wang Position Sensorless Control of Permanent Magnet Synchronous Motor Based on Improved Model Reference Adaptive Systems Energies permanent magnet synchronous motor vector control model reference adaptive sliding mode control sensorless control |
| title | Position Sensorless Control of Permanent Magnet Synchronous Motor Based on Improved Model Reference Adaptive Systems |
| title_full | Position Sensorless Control of Permanent Magnet Synchronous Motor Based on Improved Model Reference Adaptive Systems |
| title_fullStr | Position Sensorless Control of Permanent Magnet Synchronous Motor Based on Improved Model Reference Adaptive Systems |
| title_full_unstemmed | Position Sensorless Control of Permanent Magnet Synchronous Motor Based on Improved Model Reference Adaptive Systems |
| title_short | Position Sensorless Control of Permanent Magnet Synchronous Motor Based on Improved Model Reference Adaptive Systems |
| title_sort | position sensorless control of permanent magnet synchronous motor based on improved model reference adaptive systems |
| topic | permanent magnet synchronous motor vector control model reference adaptive sliding mode control sensorless control |
| url | https://www.mdpi.com/1996-1073/18/10/2531 |
| work_keys_str_mv | AT mengwang positionsensorlesscontrolofpermanentmagnetsynchronousmotorbasedonimprovedmodelreferenceadaptivesystems AT jianliu positionsensorlesscontrolofpermanentmagnetsynchronousmotorbasedonimprovedmodelreferenceadaptivesystems AT lijunjiang positionsensorlesscontrolofpermanentmagnetsynchronousmotorbasedonimprovedmodelreferenceadaptivesystems AT kuntan positionsensorlesscontrolofpermanentmagnetsynchronousmotorbasedonimprovedmodelreferenceadaptivesystems AT yiyongwang positionsensorlesscontrolofpermanentmagnetsynchronousmotorbasedonimprovedmodelreferenceadaptivesystems |