Auto-tuning pid controller for piezoelectric actuator

Abstract

This project presents the development and implementation fuzzy logic based PID control algorithm for a piezoelectric actuator PZA. The piezoelectric actuators PZA based on the inverse piezoelectric effect are used in many fields due to their properties such as high stiffness, small volume and fast response. One problem of piezoelectric materials is that the hysteresis property which effect between the displacement and the electric field existing in PZA makes the modelling and the control of PZA difficult. . The piezoelectric actuator can be perceived as a challenging control problem due to it’s the hysteresis high nonlinearity. In order to design a tracking controller with better tracking performance of PZA, The utilized model to describe the hysteresis nonlinearity behaviour and dynamic motion of 1-DOF PZA is Bouc-Wen (BW) model. The main objective of the controller is to propose a suitable solution for the problem associated with the control of piezoelectric actuator. A fuzzy controller was designed according to the process characteristics. The simulation results were carried out in MATLAB/SIMULINK. The corresponding figures and simulation results are presented. The performance of suggested fuzzy controllers is discussed and analysed. Comparing the performance of proportional, integral and derivative (PID) tuned by Zeiger-Nichols method (ZN) results depict that fuzzy logic based PID controller give a better performance in terms of transient responses, steady state responses and overshoot error.