Sensorless Control of Adaptive Super-twisting Sliding Mode Observer Based on Fuzzy Control

doi:10.11985/2023.01.004

Abstract

Abstract:

Aiming at the problem that the traditional super-twisting algorithm based sliding-mode observer(STA-SMO) of permanent magnet synchronous motor uses fixed sliding mode parameters, which leads to large chattering and poor disturbance rejection ability, a sensorless control method of permanent magnet synchronous motor adaptive super-helical sliding mode observer is proposed. The sliding mode parameters can be updated in real time with the change of system speed. The stability of the proposed method is proved, and the higher estimation accuracy can be obtained by adjusting the sliding mode coefficient online. Aiming at the problem that the traditional vector control speed loop of permanent magnet synchronous motor adopts fixed parameter PI controller, which cannot meet the rapid response and parameter disturbance suppression ability of the system, the fuzzy PI controller is used in the speed outer loop, and the parameters of the PI controller are updated by the output of the fuzzy controller to enhance the robustness of the system. Finally, through simulation and experiment, it is verified that the fuzzy control based adaptive super-twisting algorithm sliding-mode observer for permanent magnet synchronous motor can effectively suppress system chattering, with high estimation accuracy and strong robustness.

Key words: Permanent magnet synchronous motor, sensorless control, adaptive super-twisting algorithm, sliding-mode observer, fuzzy control

CLC Number:

TM341

WANG Jie, ZHOU Li, SU Meixia, WANG Huiling. Sensorless Control of Adaptive Super-twisting Sliding Mode Observer Based on Fuzzy Control[J]. Journal of Electrical Engineering, 2023, 18(1): 32-42.

Figures/Tables 26

References 17

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电机参数	数值	电机参数	数值
定子电阻R/Ω	1.02	转动惯量J/(kg·m²)	0.001
定子电感L/mH	0.59	磁链ψ_f/Wb	0.175
额定转速/(r/min)	3 000	极对数P_n	4
额定电流/A	4	额定电压/V	24