Optimal fuzzy control for nonlinear system and application to AC motor control

A new fuzzy control approach is presented for a series of nonlinear systems. To get an optimal fuzzy logic expression, track control objection is used. By means of mean value law, errors between desired output sequence and system output sequence are given and optimal control vector for a time interval is solved. According to constant control vector sequence description, nonlinear systems are fuzzed and maximum likelihood identification method is used for the determination of fuzzy control values. The results of application to AC motor control show that this method is high robust to system model changes.