Deadbeat Predictive Current Control Strategy for Permanent Magnet-Assisted Synchronous Reluctance Motor Based on Adaptive Sliding Mode Observer
To suppress current and torque ripples, this paper proposes a novel deadbeat predictive current control strategy based on an adaptive sliding mode observer for permanent magnet-assisted synchronous reluctance motor (PMa-SynRM) drives. The parameter sensitivity of predictive current control is analyz...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | World Electric Vehicle Journal |
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| Online Access: | https://www.mdpi.com/2032-6653/16/4/202 |
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| author | Bo Gao Guoqiang Zhang Gaolin Wang Dianguo Xu |
| author_facet | Bo Gao Guoqiang Zhang Gaolin Wang Dianguo Xu |
| author_sort | Bo Gao |
| collection | DOAJ |
| description | To suppress current and torque ripples, this paper proposes a novel deadbeat predictive current control strategy based on an adaptive sliding mode observer for permanent magnet-assisted synchronous reluctance motor (PMa-SynRM) drives. The parameter sensitivity of predictive current control is analyzed, and a sliding mode observer is employed to calculate the parameter disturbances for voltage compensation. The predicted current is utilized instead of the sampled current to address the one-step delay issue, effectively suppressing the adverse effects of parameter mismatch in predictive control. The adaptive control parameter module suppresses the chattering phenomenon in sliding mode control and enhances the observer’s adaptability under varying load conditions. The effectiveness of the proposed strategy is validated on a 2.2 kW PMa-SynRM platform. This strategy can suppress current and torque fluctuations under complex operating conditions, which has significant implications for electric vehicle drive control. |
| format | Article |
| id | doaj-art-fe0351d76e2144689b1d7c908a80c0c5 |
| institution | DOAJ |
| issn | 2032-6653 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj-art-fe0351d76e2144689b1d7c908a80c0c52025-08-20T03:13:54ZengMDPI AGWorld Electric Vehicle Journal2032-66532025-04-0116420210.3390/wevj16040202Deadbeat Predictive Current Control Strategy for Permanent Magnet-Assisted Synchronous Reluctance Motor Based on Adaptive Sliding Mode ObserverBo Gao0Guoqiang Zhang1Gaolin Wang2Dianguo Xu3School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150000, ChinaSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150000, ChinaSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150000, ChinaSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150000, ChinaTo suppress current and torque ripples, this paper proposes a novel deadbeat predictive current control strategy based on an adaptive sliding mode observer for permanent magnet-assisted synchronous reluctance motor (PMa-SynRM) drives. The parameter sensitivity of predictive current control is analyzed, and a sliding mode observer is employed to calculate the parameter disturbances for voltage compensation. The predicted current is utilized instead of the sampled current to address the one-step delay issue, effectively suppressing the adverse effects of parameter mismatch in predictive control. The adaptive control parameter module suppresses the chattering phenomenon in sliding mode control and enhances the observer’s adaptability under varying load conditions. The effectiveness of the proposed strategy is validated on a 2.2 kW PMa-SynRM platform. This strategy can suppress current and torque fluctuations under complex operating conditions, which has significant implications for electric vehicle drive control.https://www.mdpi.com/2032-6653/16/4/202PMa-SynRM (permanent magnet-assisted synchronous reluctance motor)deadbeat predictive current controlparameter mismatchsliding mode observer |
| spellingShingle | Bo Gao Guoqiang Zhang Gaolin Wang Dianguo Xu Deadbeat Predictive Current Control Strategy for Permanent Magnet-Assisted Synchronous Reluctance Motor Based on Adaptive Sliding Mode Observer World Electric Vehicle Journal PMa-SynRM (permanent magnet-assisted synchronous reluctance motor) deadbeat predictive current control parameter mismatch sliding mode observer |
| title | Deadbeat Predictive Current Control Strategy for Permanent Magnet-Assisted Synchronous Reluctance Motor Based on Adaptive Sliding Mode Observer |
| title_full | Deadbeat Predictive Current Control Strategy for Permanent Magnet-Assisted Synchronous Reluctance Motor Based on Adaptive Sliding Mode Observer |
| title_fullStr | Deadbeat Predictive Current Control Strategy for Permanent Magnet-Assisted Synchronous Reluctance Motor Based on Adaptive Sliding Mode Observer |
| title_full_unstemmed | Deadbeat Predictive Current Control Strategy for Permanent Magnet-Assisted Synchronous Reluctance Motor Based on Adaptive Sliding Mode Observer |
| title_short | Deadbeat Predictive Current Control Strategy for Permanent Magnet-Assisted Synchronous Reluctance Motor Based on Adaptive Sliding Mode Observer |
| title_sort | deadbeat predictive current control strategy for permanent magnet assisted synchronous reluctance motor based on adaptive sliding mode observer |
| topic | PMa-SynRM (permanent magnet-assisted synchronous reluctance motor) deadbeat predictive current control parameter mismatch sliding mode observer |
| url | https://www.mdpi.com/2032-6653/16/4/202 |
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