Fuzzy identification and control of a piezoelectric actuator

Author

Rebai, Aissa ; Guesmi, Kamel ; Hemici, Boualem

Author_Institution

Nat. Polytech. Sch. (ENP) of Algiers, Process Control Lab. (LCP), Algiers, Algeria

fYear

2015

fDate

25-27 May 2015

Firstpage

1

Lastpage

6

Abstract

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.

Keywords

ant colony optimisation; fuzzy control; least squares approximations; piezoelectric actuators; ACO algorithm; RLS algorithm; T-S fuzzy model; ant colony optimization; fuzzy control; fuzzy identification; modelling; piezoelectric actuator; recursive least squares algorithm; Adaptation models; Ant colony optimization; Fuzzy systems; Hysteresis; Mathematical model; Piezoelectric actuators; Signal processing algorithms; ACO algorithm; Dynamic hysteresis model; Fuzzy PID controller; Inverse model; Piezoelectric actuator; T-S fuzzy system;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Engineering & Information Technology (CEIT), 2015 3rd International Conference on

Conference_Location

Tlemcen

Type

conf

DOI

10.1109/CEIT.2015.7233005

Filename

7233005