modeling and control of magnetostrictive actuators

139 Pages·2016·1.79 MB·English

by  Wei Zhang

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University of Kentucky Master's Theses Graduate School
2005
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Wei Zhang
University of Kentucky
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Zhang, Wei, "MODELING AND CONTROL OF MAGNETOSTRICTIVE ACTUATORS" (2005). University of
Kentucky Master's Theses. 257.
https://uknowledge.uky.edu/gradschool_theses/257
This Thesis is brought to you for free and open access by the Graduate School at UKnowledge. It has been
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ABSTRACT OF THESIS

Wei Zhang

The Graduate School

University of Kentucky

2005
MODELING AND CONTROL OF
MAGNETOSTRICTIVE ACTUATORS

ABSTRACT OF THESIS

A thesis submitted in partial fulfillment of the
requirements for the degree of Master of Science in the
College of Engineering
at the University of Kentucky

By
Wei Zhang

Lexington, Kentucky
Director: Dr. YuMing Zhang, Professor of Electrical Engineering
Lexington, Kentucky
2005
Copyright © Wei Zhang, 2005
ABSTRACT OF THESIS

MODELING AND CONTROL OF
MAGNETOSTRICTIVE ACTUATORS

Most smart actuators exhibit rate-dependant hysteresis when the working
frequency is higher than 5Hz. Although the Preisach model has been a very powerful tool
to model the static hysteresis, it cannot be directly used to model the dynamic hysteresis.
Some researchers have proposed various generalizations of the Preisach operator to
model the rate-dependant hysteresis, however, most of them are application-dependant
and only valid for low frequency range. In this thesis, a first-order dynamic relay operator
is proposed. It is then used to build a novel dynamic Preisach model. It can be used to
model general dynamic hysteresis and is valid for a large frequency range. Real
experiment data of magnetostrictive actuator is used to test the proposed model.
Experiments have shown that the proposed model can predict all the static major and
minor loops very well and at the same time give an accurate prediction for the dynamic
hysteresis loops.
The controller design using the proposed model is also studied. An inversion
algorithm is developed and a PID controller with inverse hysteresis compensation is
proposed and tested through simulations. The results show that the PID controller with
inverse compensation is good at regulating control; its tracking performance is really
limited (average error is 10 micron), especially for high frequency signals. Hence, a
simplified predictive control scheme is developed to improve the tracking performance. It
is proved through experiments that the proposed predictive controller can reduce the
average tracking error to 2 micron while preserve a good regulating performance.

KEYWORDS: Dynamic hysteresis, Preisach, Magnetostriction, Smart Actuators,
Modeling and Control

_____________________________________

_____________________________________
MODELING AND CONTROL OF
MAGNETOSTRICTIVE ACTUATORS

By
Wei Zhang

________________________________
Director of Dissertation

________________________________
Director of Graduate Studies

________________________________
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Unpublished dissertations submitted for the Master’s degree and deposited in the
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Name Date
THESIS

Wei Zhang

The Graduate School
University of Kentucky
2005
MODELING AND CONTROL OF

MAGNETOSTRICTIVE ACTUATORS

THESIS

A thesis submitted in partial fulfillment of the
requirements for the degree of Master of Science in the
College of Engineering
at the University of Kentucky

By
Wei Zhang

Lexington, Kentucky

Director: Dr. YuMing Zhang, Professor of Electrical Engineering

Lexington, Kentucky

2005

Copyright © Wei zhang, 2005
MASTER’S THESIS RELEASE

I authorize the University of Kentucky
Libraries to reproduce this thesis in
whole or in part for purposes of research.

Signed: ___________________________________
Date: _____________________________________
ACKNOWLEDGEMENTS

This research is funded by the Energen Inc company and the University of
Kentucky Center for Manufacturing. I would like to thank Dr. YuMing Zhang, and Dr.
Bruce L. Walcott for their guidance, encouragement and support. I would also like to
thank Wei Lu and Yu Chi for their helpful advice throughout my research. In addition, I
want to thank my parents for their love and support and lastly my wife, Rong Zhang, for
being the most wonderful person in my life.

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