Auto-tuning pid controller for piezoelectric actuator

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 r...

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Main Author:	Dawod, Fakheraldien Mohammed Salih
Format:	Thesis
Language:	English
Published:	2020
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/92991/1/FakheraldienMohammedSalihMSKE2020.pdf
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id	my-utm-ep.92991
record_format	uketd_dc
spelling	my-utm-ep.929912021-11-07T06:00:14Z Auto-tuning pid controller for piezoelectric actuator 2020 Dawod, Fakheraldien Mohammed Salih TK Electrical engineering. Electronics Nuclear engineering 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. 2020 Thesis http://eprints.utm.my/id/eprint/92991/ http://eprints.utm.my/id/eprint/92991/1/FakheraldienMohammedSalihMSKE2020.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:135861 masters Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering Faculty of Engineering - School of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Dawod, Fakheraldien Mohammed Salih Auto-tuning pid controller for piezoelectric actuator
description	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.
format	Thesis
qualification_level	Master's degree
author	Dawod, Fakheraldien Mohammed Salih
author_facet	Dawod, Fakheraldien Mohammed Salih
author_sort	Dawod, Fakheraldien Mohammed Salih
title	Auto-tuning pid controller for piezoelectric actuator
title_short	Auto-tuning pid controller for piezoelectric actuator
title_full	Auto-tuning pid controller for piezoelectric actuator
title_fullStr	Auto-tuning pid controller for piezoelectric actuator
title_full_unstemmed	Auto-tuning pid controller for piezoelectric actuator
title_sort	auto-tuning pid controller for piezoelectric actuator
granting_institution	Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering
granting_department	Faculty of Engineering - School of Electrical Engineering
publishDate	2020
url	http://eprints.utm.my/id/eprint/92991/1/FakheraldienMohammedSalihMSKE2020.pdf
_version_	1747818621353066496

Auto-tuning pid controller for piezoelectric actuator

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