journal article·2023-11-06Open access

Parameter Identification of a Permanent Magnet Synchronous Motor Based on the Model Reference Adaptive System with Improved Active Disturbance Rejection Control Adaptive Law

Xin Qi, Chunyang Sheng, Yongbao Guo, Tao Su, Haixia Wang

Applied Sciences· Volume 13· Issue 21

Abstract

Aiming at the problem that online parameter identification, based on the Model Reference Adaptive System (MRAS), is easily affected by the high-frequency noise of the sensor, an improved MRAS, based on variable bandwidth linear Active Disturbance Rejection Control (ADRC) adaptive law, is proposed. The proposed ADRC adaptive law, including an extended state observer, exhibits good anti-disturbance ability while effectively tracking the error signal through adjusting the bandwidth of the controller according to the observation error. When the observation error is large, the bandwidth of the controller is increased to enhance the tracking accuracy; in the opposite situation, the bandwidth is reduced to improve the anti-disturbance performance. To illustrate feasibility, a stability analysis of the proposed ADRC adaptive law is carried out and some comparison and validation experiments are designed to identify the inductance and flux linkage of the permanent magnet synchronous motor (PMSM). The experimental results show that the proposed method has better anti-disturbance performance than the MRAS based on traditional Proportional Integral (PI) adaptive law or switched PI adaptive law.
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Research context

OpenAlex topics: Sensorless Control of Electric Motors · Iterative Learning Control Systems · Adaptive Control of Nonlinear Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Shandong Province for Innovation and Development Joint Funds · Natural Science Foundation of Shandong Province · Taishan Scholarship of Construction Engineering

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