Parameter Identification of Permanent Magnet Synchronous Motor Based on Improved MRAS Algorithm

• Published in: Journal of physics. Conference series Vol. 2456; no. 1; pp. 12050 - 12058
• Main Authors: Liu, Yi, Ran, Quan, Zhao, Shiping
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.03.2023
• Subjects: Algorithms; Chains; Control algorithms; Control theory; Inductance; Least squares method; Parameter identification; Permanent magnets; Physics; Synchronous motors
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/2456/1/012050

Abstract During the operation of a permanent magnet synchronous motor, the electrical parameters of the motor will be affected by the temperature and the saturation of the magnetic chain, which will lead to a decrease in the effectiveness of the control algorithm for motor control. In this paper, we address the problem that the traditional MRAS algorithm has under-ranked equations when identifying motor parameters, and the three parameter identification values are coupled with each other and affect each other, which leads to scattered identification results and slow identification speed. In this paper, we propose a segmentation identification algorithm that combines the traditional MRAS algorithm with the recursive least squares method. In this paper, the inductance value is first identified by the recursive least squares method, and then the inductance value is substituted into the MRAS to identify the stator resistance and rotor magnetic chain, which effectively solves the problems of equation under-ranking and slow identification speed in the traditional MRAS, thus improving the stability of the permanent magnet synchronous motor operation.