Fuzzy identification and control of a piezoelectric actuator

Due to the special characteristics of piezoelectric actuators, the modelling and control task of these devices has been one of the most important research topic in the last decade. In the first part of this paper, a T-S fuzzy model is proposed to represent the behavior of this type of actuators and the recursive least squares (RLS) algorithm is used to optimize the parameters of this model. In the second part, based on an analytical model, a fuzzy PID controller for the piezoelectric actuator plant is presented. An ant colony optimization (ACO) algorithm is used to find the parameters of the proposed controller. The proposed approaches are validated through simulation along with their satisfactory performances.