Speed Loop Control of Permanent Magnet Synchronous Motor Based on Linear Quadratic Regulator Parameter Tuning

ABSTRACT Due to the challenges in determining the parameters of traditional controllers, achieving efficient performance during the control process remains difficult. To improve control performance, this paper presents a novel speed control scheme based on the parameter tuning of a linear quadratic regulator (LQR). The proposed control approach begins by establishing the speed state error in the rotor reference coordinate system, followed by the design of a custom parameter switching surface and control law. LQR theory is then utilized to adjust the state‐space equations, allowing for the calculation of the parameters for the tracking error function and control law. This controller incorporates both the speed tracking error and the integral of the speed tracking error. Simulations and experiments are designed to validate the effectiveness of the proposed control scheme. Comparison results with traditional control methods, such as PI control based on motor parameters, sliding mode control, and PI control with state feedback, indicate that the proposed LQR parameter tuning control scheme excels in the speed control of PMSM.

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Publication Details

Journal
Optimal Control Applications and Methods
Published
2025-05-14
DOI
https://doi.org/10.1002/oca.3314
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Speed Loop Control of Permanent Magnet Synchronous Motor Based on Linear Quadratic Regulator Parameter Tuning

Bitao Zhang, Weicheng Zhang
Optimal Control Applications and Methods
Sensorless Control of Electric Motors
article

Speed Loop Control of Permanent Magnet Synchronous Motor Based on Linear Quadratic Regulator Parameter Tuning

Bitao Zhang, Weicheng Zhang
article en

Abstract

ABSTRACT Due to the challenges in determining the parameters of traditional controllers, achieving efficient performance during the control process remains difficult. To improve control performance, this paper presents a novel speed control scheme based on the parameter tuning of a linear quadratic regulator (LQR). The proposed control approach begins by establishing the speed state error in the rotor reference coordinate system, followed by the design of a custom parameter switching surface and control law. LQR theory is then utilized to adjust the state‐space equations, allowing for the calculation of the parameters for the tracking error function and control law. This controller incorporates both the speed tracking error and the integral of the speed tracking error. Simulations and experiments are designed to validate the effectiveness of the proposed control scheme. Comparison results with traditional control methods, such as PI control based on motor parameters, sliding mode control, and PI control with state feedback, indicate that the proposed LQR parameter tuning control scheme excels in the speed control of PMSM.

Optimal Control Applications and MethodsVol. 46(5)
Guangdong Polytechnic Normal University (CN)
Openalex Percentile: Top 91%
Sensorless Control of Electric Motors
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