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Article type: Research Article
Authors: Zheng, Tianjuan
Affiliations: School of Information Science and Engineering, Nanjing Audit University Jinshen College, Nanjing, Jiangsu 210033, China | E-mail: [email protected]
Correspondence: [*] Corresponding author: School of Information Science and Engineering, Nanjing Audit University Jinshen College, Nanjing, Jiangsu 210033, China. E-mail: [email protected].
Abstract: In order to solve the problems of high control error, large maximum output torque and long control time in the traditional full speed range sensorless control method of high-speed permanent magnet synchronous motor, a full speed range sensorless control method of high-speed permanent magnet synchronous motor based on neural network is proposed in this paper. Analyze the range of stator current trajectory in rotor coordinate system, so as to build the discrete model of permanent magnet synchronous motor, and build the whole process control model of high-speed permanent magnet synchronous motor by using neural network algorithm. Through the design of observer, overall control structure and speed regulation range of non inductance control, the goal of non inductance control in the full speed range of high-speed permanent magnet synchronous motor is achieved. The experimental results show that the non inductive control error in the full speed range of the high-speed permanent magnet synchronous motor is 0.2, the maximum output torque is 420 N⋅m, and reaches 2000 r/min at 0.6 s. The practical application effect is good.
Keywords: Neural network, high-speed permanent magnet synchronous motor, full speed range, sensorless control method
DOI: 10.3233/JCM-226419
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 6, pp. 1875-1886, 2022
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