Version 1
: Received: 31 August 2022 / Approved: 1 September 2022 / Online: 1 September 2022 (10:35:09 CEST)
How to cite:
Feng, W.; Bai, J.; Zhang, Z.; Zhang, J. Application of Composite Variable Structure PI in the IPMSM Speed Sensorless Control System. Preprints2022, 2022090022. https://doi.org/10.20944/preprints202209.0022.v1
Feng, W.; Bai, J.; Zhang, Z.; Zhang, J. Application of Composite Variable Structure PI in the IPMSM Speed Sensorless Control System. Preprints 2022, 2022090022. https://doi.org/10.20944/preprints202209.0022.v1
Feng, W.; Bai, J.; Zhang, Z.; Zhang, J. Application of Composite Variable Structure PI in the IPMSM Speed Sensorless Control System. Preprints2022, 2022090022. https://doi.org/10.20944/preprints202209.0022.v1
APA Style
Feng, W., Bai, J., Zhang, Z., & Zhang, J. (2022). Application of Composite Variable Structure PI in the IPMSM Speed Sensorless Control System. Preprints. https://doi.org/10.20944/preprints202209.0022.v1
Chicago/Turabian Style
Feng, W., Zhiqiang Zhang and Jing Zhang. 2022 "Application of Composite Variable Structure PI in the IPMSM Speed Sensorless Control System" Preprints. https://doi.org/10.20944/preprints202209.0022.v1
Abstract
In the speed control system of Interior Permanent Magnet Synchronous Motor (IPMSM) without a speed sensor, the speed under the traditional PI control suffers from poor tracking performance and step response overshoot. This paper proposes a Compound Variable Structure PI (CVSPI) controller to improve the system control performance. It can choose whether to include an integral term according to the size of the system deviation to speed up the response. It also introduces a Model Reference Adaptive System (MRAS) speed observer in the controller to estimate the speed and adaptively adjust the size of the anti-integration saturation gain to improve the dynamic response following performance and immunity of the system. A feed-forward link is added for a given input differential to achieve an accurate answer to time-varying inputs. As the linear compensation matrix of the conventional MRAS is a unit matrix, the speed can only be accurately observed in a specific speed range. In this paper, a new linear compensation matrix is designed, and a new speed adaptive law is derived, allowing the improved MRAS to measure speed over a wide range accurately. Simulation results validate the excellent control performance of the CVSPI and the accuracy of the enhanced MRAS over a wide speed range.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.