A Method of Multi-Mode Switching for SVC Based on Sugeno Fuzzy Inference

In view of their advantages of high control accuracy and strong robustness,the multi-model controllers,which combines various advanced control algorithms such as nonlinear proportional integral differential(PID),neural network,fuzzy logical control and genetic algorithm with conventional PID controller,are applied in the field of power system control.Multi-mode control is mainly implemented by fast switching control mode,however,it is easily to lead to the dithering in controller output and system response at the switching moment by this method.To smooth the transient process,a control model switching method based on Sugeno fuzzy inference is proposed.Taking the outputs of various controller as the input and leading them into the output membership function of Sugeno system and the concept of output membership function is expanded to implement the smooth transition among models.The actual control effects of nonlinear norm transformation PID(NNTPID) and conventional PID on static var compensator(SVC) are simulated,and simulation results show that the proposed method can smooth the dithering during the control process and the switching transient process can be smoothed.