The structure analysis and design of a new self-optimizing fuzzy controller based on Nelder-Mead simplex method

With analyzing the shortcomings in the conventional fuzzy controllers that the steady state errors and its changing rate cannot be eliminated, as well as the good dynamic characteristics and steady-state properties cannot be simultaneously obtained, a new kind of self-optimizing fuzzy controller, which utilizes Nelder-Mead simplex method to automatically optimize the quantifying factor, scaling factor and integral tuning factor is designed and implemented in MATLAB environment. The simulation results indicate that the controller has strong anti-jamming capacity and fairly good accuracy in its static and dynamic control performances.