Research on Self-tuning Fractional Order PID Speed Control of Permanent Magnet Synchronous Motor Based on Torque Observer Compensation

Addressing the conflict between overshoot and response speed present in traditional PID control, fractional order calculus theory is introduced, and a fuzzy fractional order PID control strategy for permanent magnet synchronous motors based on torque observer is proposed. First, a current loop controller based on feedforward decoupling is designed. Then, a fuzzy fractional order PID control is designed, which uses fuzzy reasoning for online tuning of the controller parameters. Additionally, to improve the system's disturbance rejection capability, a Luenberger torque observer is designed to compensate for disturbances. Finally, through comparative simulation experiments with integer-order PID control, sliding mode control, and conventional fractional order PID control, the results show that the proposed strategy not only has better control performance but also robustness to external load disturbances.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icsgce63738.2024.10830597
Citations
2
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.42
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article

Research on Self-tuning Fractional Order PID Speed Control of Permanent Magnet Synchronous Motor Based on Torque Observer Compensation

Junjie Han, Dejun Liu, Ming Du, Yuqi Jin
2 citations
Sensorless Control of Electric Motors
0.42
article

Research on Self-tuning Fractional Order PID Speed Control of Permanent Magnet Synchronous Motor Based on Torque Observer Compensation

Junjie Han, Dejun Liu, Ming Du, Yuqi Jin
article en
2 citations

Abstract

Addressing the conflict between overshoot and response speed present in traditional PID control, fractional order calculus theory is introduced, and a fuzzy fractional order PID control strategy for permanent magnet synchronous motors based on torque observer is proposed. First, a current loop controller based on feedforward decoupling is designed. Then, a fuzzy fractional order PID control is designed, which uses fuzzy reasoning for online tuning of the controller parameters. Additionally, to improve the system's disturbance rejection capability, a Luenberger torque observer is designed to compensate for disturbances. Finally, through comparative simulation experiments with integer-order PID control, sliding mode control, and conventional fractional order PID control, the results show that the proposed strategy not only has better control performance but also robustness to external load disturbances.

Beihua University (CN), Jilin Vocational College of Industry and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 35%
Sensorless Control of Electric Motors
0.42
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