A fuzzy sliding-mode controller design for a synchronous reluctance motor drive

1996 ◽  
Vol 32 (3) ◽  
pp. 1065-1076 ◽  
Author(s):  
Tian-Hua Liu ◽  
Ming-Tsan Lin
2013 ◽  
Vol 300-301 ◽  
pp. 1490-1493 ◽  
Author(s):  
Wen Bin Lin ◽  
Huann Keng Chiang ◽  
Yu Lung Chung

In general, the conventional sliding mode control design is assumed that the upper boundary of parameter variations and external disturbances is known, it causes high frequency chattering and high gain phenomenon by using sign function, else steady-state error by using sat function. Immune-Fuzzy theorem simplifies the complexity of humor system, as well as introducing fuzzy control. This paper presents an Immune-Fuzzy sliding mode controller (FISMC) not only eliminate the system uncertainty but also overcomes the drawback of sign function and sat function. Finally, the performance of the proposed method is verified by simulation. The proposed FISMC shows the robustness for the motor parameters variation and the improvement of chattering phenomenon.


2013 ◽  
Vol 274 ◽  
pp. 369-373
Author(s):  
Yong Qin Zhou ◽  
Rui Liu ◽  
Yan Guang Cui ◽  
Xu Dong Wang

For the shortcomings of the torque ripple of switched reluctance motor (SRM), this paper presents a strategy of controlling switched reluctance motor drive (SRD) with fuzzy sliding mode controller. The speed loop uses the conventional PI regulator, and the current loop adopts the fuzzy sliding mode controller which takes the current deviation as switching function and combines with fuzzy reasoning to determine the value of switching gain. The fuzzy sliding mode controller will realize the precise current control and enhance the stability of the system. The simulation results show that the system can suppress the torque ripple effectively and realize high-performance SRD control.


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