Design of Fuzzy Controller Based on a New Optimal Correction Function

This paper presents a fuzzy controller method based on a new optimal correction function, which tunes the rule scaling factor alpha based on error E and error change EC, and it not only self-tunes the weight of error E in the control effect according to error E, but also considers that error change EC plays an different role in each movement stage in the system .Therefore, the fuzzy controller has the greater ability of adapting to such complexity and hard control objects, as non-lined Time-variant uncertainty and so on. In the end simulates it by SIMULINK of MATLAB and the simulation results prove that the controller has strong anti-jamming capacity, robustness and fairly good accuracy in its static and dynamic control performances.