Fuzzy RBF neural PID control to simulation turntable servo system

Abstract

Simulation turntable servo system is highly nonlinear and uncertainty plants. Up to now, various kinds of nonlinear PID controllers have been designed in order to satisfactorily control this system and some of them applied in actual systems with different degrees. Given this background, the simulation experiments are carried out based on MATLAB/SIMULINK tools to evaluate the performances of four different turntable servo controllers, including the conventional PID, the fuzzy self-tuning PID, the neural network PID and the fuzzy RBF neural network PID controller. The simulation results show that the simulation turntable servo system with fuzzy RBF neural PID controller exhibits robustness and good adaptation capability.