Switched Reluctance Linear Motor Force Ripple Suppression Based on Predictive-Fuzzy Control

Switched reluctance linear motors (SRLMs) has been applied more and more in the industrial field due to its simple structure, low cost, large starting force and small starting current. However, due to the double salient structure of SRLM and its work in the nonlinear region, the force ripple and noise problems are the main factors restricting the development of SRLMs. The force ripple usually appears in the communication area, and the main reason is the dropping force of outgoing phase can't match with the rising force of the incoming phase. By controlling the forces of outgoing phase and incoming phase, the force distribution function (FDF) is an ideal method to reduce the force ripple in the communication area. However, the controller calculation takes time and the motor has inductance, so the current change always lags behind the reference electromagnetic force change, which reduces the control effect of FDF. According to the disadvantages of FDF, in this paper, a method of Predictive-Fuzzy control is proposed. By predicting the force in the future, the current can be controlled in advance. After the force is predicted, an executive part is needed. Fuzzy controller because of its good stability, rapidity, and no need for precise and complex mathematical models, so it is suitable for the control of SRLMs. In this paper, two different fuzzy set segmentation methods are used, and the parameters of Fuzzy control adopt an adaptive method. Perform experimental verification on a 6/4 bilateral SRLM, compared with FDF, the method proposed in this paper has better force ripple suppression performance.