ESO-Based Direct Model-Free Adaptive Predictive Compensation Control for Permanent Magnet Synchronous Motors
For a class of permanent magnet synchronous motors (PMSM) characterized by strong coupling, significant nonlinearity, load uncertainties, and external disturbances, this paper investigates an extended state observer-based direct model-free adaptive predictive compensation control (ESO-dMFAPCC) metho...
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IEEE
2025-01-01
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| Online Access: | https://ieeexplore.ieee.org/document/10829560/ |
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| author | Yang Liu Guangxu Zhou Lei Guo Zibo Sun |
| author_facet | Yang Liu Guangxu Zhou Lei Guo Zibo Sun |
| author_sort | Yang Liu |
| collection | DOAJ |
| description | For a class of permanent magnet synchronous motors (PMSM) characterized by strong coupling, significant nonlinearity, load uncertainties, and external disturbances, this paper investigates an extended state observer-based direct model-free adaptive predictive compensation control (ESO-dMFAPCC) method for speed regulation. Initially, a dynamic linearization model of a PMSM system with unknown external disturbances is developed. Subsequently, a novel direct model-free adaptive predictive compensation controller, theoretically equivalent to an ideal controller, is proposed. An extended state observer (ESO) is designed to estimate the state variable, capturing the characteristics of the external disturbance and system uncertainty. On this basis, control gains with online adaptive capabilities are designed to achieve adaptive speed control for the PMSM system. The primary advantage of the proposed control method lies in its novel framework for directly constructing a predictive compensation controller, which simplifies the controller structure design process by reducing it to a parameter-optimization problem. Moreover, utilizing only the PMSM system’s input/output (I/O) data, the proposed ESO-dMFAPCC is purely data-driven and exhibits strong robustness against external disturbances. Furthermore, the stability of the closed-loop PMSM system is rigorously analyzed. Finally, the simulation results demonstrate that, compared to PI control, sliding mode control (SMC), and model-free adaptive predictive control (MFAPC), the proposed method offers superior dynamic performance while significantly enhancing the anti-disturbance capabilities of the PMSM system. |
| format | Article |
| id | doaj-art-ed7264ad023d4b6cb9c347cd9c50f7a0 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-ed7264ad023d4b6cb9c347cd9c50f7a02025-01-15T00:02:26ZengIEEEIEEE Access2169-35362025-01-01137837784910.1109/ACCESS.2025.352628210829560ESO-Based Direct Model-Free Adaptive Predictive Compensation Control for Permanent Magnet Synchronous MotorsYang Liu0https://orcid.org/0009-0000-2689-1866Guangxu Zhou1https://orcid.org/0000-0002-9717-7720Lei Guo2https://orcid.org/0000-0002-5539-3759Zibo Sun3https://orcid.org/0009-0008-4800-922XShandong Provincial Key Laboratory of Automotive Electronics Technology, Institute of Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaShandong Provincial Key Laboratory of Automotive Electronics Technology, Institute of Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaShandong Provincial Key Laboratory of Automotive Electronics Technology, Institute of Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaShandong Provincial Key Laboratory of Automotive Electronics Technology, Institute of Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaFor a class of permanent magnet synchronous motors (PMSM) characterized by strong coupling, significant nonlinearity, load uncertainties, and external disturbances, this paper investigates an extended state observer-based direct model-free adaptive predictive compensation control (ESO-dMFAPCC) method for speed regulation. Initially, a dynamic linearization model of a PMSM system with unknown external disturbances is developed. Subsequently, a novel direct model-free adaptive predictive compensation controller, theoretically equivalent to an ideal controller, is proposed. An extended state observer (ESO) is designed to estimate the state variable, capturing the characteristics of the external disturbance and system uncertainty. On this basis, control gains with online adaptive capabilities are designed to achieve adaptive speed control for the PMSM system. The primary advantage of the proposed control method lies in its novel framework for directly constructing a predictive compensation controller, which simplifies the controller structure design process by reducing it to a parameter-optimization problem. Moreover, utilizing only the PMSM system’s input/output (I/O) data, the proposed ESO-dMFAPCC is purely data-driven and exhibits strong robustness against external disturbances. Furthermore, the stability of the closed-loop PMSM system is rigorously analyzed. Finally, the simulation results demonstrate that, compared to PI control, sliding mode control (SMC), and model-free adaptive predictive control (MFAPC), the proposed method offers superior dynamic performance while significantly enhancing the anti-disturbance capabilities of the PMSM system.https://ieeexplore.ieee.org/document/10829560/Permanent magnet synchronous motormodel-free adaptive predictive controlextended state observerspeed controlanti-disturbance |
| spellingShingle | Yang Liu Guangxu Zhou Lei Guo Zibo Sun ESO-Based Direct Model-Free Adaptive Predictive Compensation Control for Permanent Magnet Synchronous Motors IEEE Access Permanent magnet synchronous motor model-free adaptive predictive control extended state observer speed control anti-disturbance |
| title | ESO-Based Direct Model-Free Adaptive Predictive Compensation Control for Permanent Magnet Synchronous Motors |
| title_full | ESO-Based Direct Model-Free Adaptive Predictive Compensation Control for Permanent Magnet Synchronous Motors |
| title_fullStr | ESO-Based Direct Model-Free Adaptive Predictive Compensation Control for Permanent Magnet Synchronous Motors |
| title_full_unstemmed | ESO-Based Direct Model-Free Adaptive Predictive Compensation Control for Permanent Magnet Synchronous Motors |
| title_short | ESO-Based Direct Model-Free Adaptive Predictive Compensation Control for Permanent Magnet Synchronous Motors |
| title_sort | eso based direct model free adaptive predictive compensation control for permanent magnet synchronous motors |
| topic | Permanent magnet synchronous motor model-free adaptive predictive control extended state observer speed control anti-disturbance |
| url | https://ieeexplore.ieee.org/document/10829560/ |
| work_keys_str_mv | AT yangliu esobaseddirectmodelfreeadaptivepredictivecompensationcontrolforpermanentmagnetsynchronousmotors AT guangxuzhou esobaseddirectmodelfreeadaptivepredictivecompensationcontrolforpermanentmagnetsynchronousmotors AT leiguo esobaseddirectmodelfreeadaptivepredictivecompensationcontrolforpermanentmagnetsynchronousmotors AT zibosun esobaseddirectmodelfreeadaptivepredictivecompensationcontrolforpermanentmagnetsynchronousmotors |