Modeling and Simulating for Soft Starting of Asynchronous Motors Based on Fuzzy Adaptive Control

Abstract

Considering the large starting current of the asynchronous motors, this paper presents a soft starting system of the asynchronous motors based on fuzzy adaptive control whose control rule and control factor can be adjusted by itself. According to the starting characteristic of asynchronous motors, taking current deviation and deviation change rate as input and the change of trigger angle of thyristors as output, the fuzzy adaptive control strategy is put forward. The system model for the soft starting of asynchronous motors is established and the system is simulated based on MATLAB/SIMULINK. Compared with the traditional fuzzy control method, starting current and torque oscillations can be eliminated effectively, an ideal constant current soft starting control effect for asynchronous motors is achieved, so fuzzy adaptive control method is superior. The simulation results show the validity and stronger robustness.