Optimized neuro-fuzzy multivariable PID controller based on IMC using genetic algorithm

In this paper a new method for PID controller parameters tuning, in multivariable systems, using neuro-fuzzy system is proposed. PID tuning is based on using internal model control (IMC) technique and intelligent algorithm. IMC technique reduces number of parameters that must be tuned and then proposed algorithm uses neuro-fuzzy for determination of IMC variables. Parameters of neuro-fuzzy system, optimally is determined by genetic algorithm. Simulation results, presents good performance of proposed method.