Speed Loop Control of Permanent Magnet Synchronous Motor Based on Linear Quadratic Regulator Parameter Tuning.
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| Title: | Speed Loop Control of Permanent Magnet Synchronous Motor Based on Linear Quadratic Regulator Parameter Tuning. |
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| Authors: | Zhang, Bitao1 (AUTHOR) bitaoz@gpnu.edu.cn, Zhang, Weicheng1 (AUTHOR) |
| Source: | Optimal Control - Applications & Methods. Sep2025, Vol. 46 Issue 5, p2153-2164. 12p. |
| Subjects: | Permanent magnet motors, Linear control systems, Mechanical efficiency, Self-tuning controllers, State-space methods, Cruise control, Simulation methods & models |
| 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. [ABSTRACT FROM AUTHOR] |
| Copyright of Optimal Control - Applications & Methods is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| 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. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 01432087 |
| DOI: | 10.1002/oca.3314 |
