Research on Model Reference Adaptive Sliding Mode Control Strategy for Permanent Magnet Synchronous Wind Generator

Abstract

This research proposes a sliding mode variable structure model reference adaptive system based on the modified super-twisting algorithm (MST-SM-MRAS) to estimate the position and speed of the generator in a permanent magnet synchronous wind power system. Firstly, the reference model and the adjustable model are designed according to the mathematical model of PMSG; secondly, the MST-SMC is constructed according to the output error between the two models, which makes the output error converge in finite time and improves the system’s anti-disturbance capability. A smooth sigmoid function is used instead of the sign function to suppress the sliding mode chattering and improve the control accuracy of the system. The proposed strategy’s effectiveness is verified through simulation.