Adaptive Model Predictive Control for Permanent Magnet Synchronous Motor
In order to solve the problem of speed fluctuation existing in PMSM model predictive control after loading, an optimization strategy based on model reference adaptation is proposed, which take torque and flux as state variables, constantly identified the actual inductance and flux parameters of the...
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| Vydané v: | IEEE International Conference on Industrial Technology (Online) s. 1 - 6 |
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| Jazyk: | English |
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26.03.2025
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| ISSN: | 2643-2978 |
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| Abstract | In order to solve the problem of speed fluctuation existing in PMSM model predictive control after loading, an optimization strategy based on model reference adaptation is proposed, which take torque and flux as state variables, constantly identified the actual inductance and flux parameters of the motor, and then compensated the adverse effects of parameter changes on the model predictive controller. It makes the whole control system form a complete adaptive optimization control. Secondly, the model prediction controller forms a closed loop between the motor and the controller through the identification algorithm, simplifying the problem of parameter matching and subsequent debugging. |
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| AbstractList | In order to solve the problem of speed fluctuation existing in PMSM model predictive control after loading, an optimization strategy based on model reference adaptation is proposed, which take torque and flux as state variables, constantly identified the actual inductance and flux parameters of the motor, and then compensated the adverse effects of parameter changes on the model predictive controller. It makes the whole control system form a complete adaptive optimization control. Secondly, the model prediction controller forms a closed loop between the motor and the controller through the identification algorithm, simplifying the problem of parameter matching and subsequent debugging. |
| Author | Luo, Wensheng Zhang, Ruifang Jin, Zhongqi Li, Chaoyi Zhang, Zhiwei Li, Haofei |
| Author_xml | – sequence: 1 givenname: Zhiwei surname: Zhang fullname: Zhang, Zhiwei email: 23s136575@stu.hit.edu.cn organization: School of Electrical Engineering and Automation Harbin Institute of Technology,Harbin,China – sequence: 2 givenname: Wensheng surname: Luo fullname: Luo, Wensheng email: wensheng.luo@hit.edu.cn organization: School of Electrical Engineering and Automation Harbin Institute of Technology,Harbin,China – sequence: 3 givenname: Ruifang surname: Zhang fullname: Zhang, Ruifang email: 22b904055@stu.hit.edu.cn organization: School of Electrical Engineering and Automation Harbin Institute of Technology,Harbin,China – sequence: 4 givenname: Haofei surname: Li fullname: Li, Haofei email: 24S106123@stu.hit.edu.cn organization: School of Electrical Engineering and Automation Harbin Institute of Technology,Harbin,China – sequence: 5 givenname: Zhongqi surname: Jin fullname: Jin, Zhongqi email: 24S106119@stu.hit.edu.cn organization: School of Electrical Engineering and Automation Harbin Institute of Technology,Harbin,China – sequence: 6 givenname: Chaoyi surname: Li fullname: Li, Chaoyi email: 24S106121@stu.hit.edu.cn organization: School of Electrical Engineering and Automation Harbin Institute of Technology,Harbin,China |
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| Snippet | In order to solve the problem of speed fluctuation existing in PMSM model predictive control after loading, an optimization strategy based on model reference... |
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| SubjectTerms | Adaptation models cost function Fluctuations Load modeling model prediction model reference adaptive Parameter estimation Predictive control Predictive models Stability analysis Torque Torque control Torque measurement |
| Title | Adaptive Model Predictive Control for Permanent Magnet Synchronous Motor |
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