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CONTROL OF SWITCHED RELUCTANCE MACHINES

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标签: Switched

Switched

Reluctance

Switched

Motor

Motor

Control

Control

A  THESIS  FOR  THE  DEGREE  OF  DOCTOR  OF  PHILOSOPHY  -  Dublin  City  University

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CONTROL OF SWITCHED RELUCTANCE MACHINES A THESIS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY Presented to Dublin City University DCU by Eoin Kennedy B Eng School of Electronic Engineering Dublin City University Research Supervisor Dr Marissa Condon August 2005 D e c l a r a t i o n I hereby certify that this material which 1 now submit for assessment on the programme of study leading to the award of PhD in Electronic Engineering is entirely my own work and has not been taken from the work of ot......

CONTROL OF
SWITCHED RELUCTANCE MACHINES
A THESIS FOR TH E DEGREE OF D O C TO R OF PH ILO SO PH Y
Presented to
Dublin City University (DCU)
by
Eoin Kennedy, B. Eng.
School of Electronic Engineering
Dublin City University
Research Supervisor
Dr. Marissa Condon
August 2005
Declaration
I hereby certify that this material, which 1 now submit for assessment on the
programme of study leading to the award of PhD in Electronic Engineering, is entirely
my own work and has not been taken from the work of others save and to the extent
that such work has been cited and acknowledged within the text of my work.
Signed:
ID No.:
Date:
Abstract
This thesis is concerned with the control of switched reluctance machines for both
motoring and generating applications. There are different control objectives in each case.
For motoring operation, there are two possible control objectives. If the SRM is being
employed in a servo-type application, the desire is for a constant output torque. However,
for low performance applications where some amount of torque ripple is acceptable, the
aim is to achieve efficient and accurate speed regulation. When the SRM is employed for
generating purposes, the goal is to maintain the dc bus voltage at the required value while
achieving maximum efficiency.
Preliminary investigative work on switched reluctance machine control in both motoring
and generating modes is performed. This includes the implementation and testing through
simulation of two control strategies described in the literature. In addition, an
experimental system is built for the development and testing of new control strategies.
The inherent nonlinearity of the switched reluctance machine results in ripple in the
torque profile. This adversely affects motoring performance for servo-type applications.
Hence, three neuro-fuzzy control strategies for torque ripple minimisation in switched
reluctance motors are developed. For all three control strategies, the training of a neuro-
fuzzy compensator and the incorporation of the trained compensator into the overall
switched reluctance drive are described. The performance of the control strategies in
reducing the torque ripple is examined with simulations and through experimental testing.
While the torque ripple is troublesome for servo-type applications, there are some
applications where a certain amount of torque ripple is acceptable. Therefore, four simple
motor control strategies for torque ripple-tolerant applications are described and tested
experimentally. Three of the control strategies are for low speed motoring operation
while the fourth is aimed at high speed motoring operation.
Finally, three closed-loop generator control strategies aimed at high speed operation in
single pulse mode are developed. The three control strategies are examined by testing on
the experimental system. A comparison of the performance of the control strategies in
terms of efficiency and peak current produced by each is presented.
I
Acknowledgements
I wish to express my sincere gratitude to my supervisor, Dr. Marissa Condon, for all
her guidance, advice and support throughout the duration of this project.
Many thanks to Jim Dowling for his help and support during my time in DCU.
I would like to thank PEI Technologies and DCU for financial support and assistance
during the course of this research.
I am very grateful to the staff in PEI technologies, Liam Sweeney, Ciaran Waters and
Claus Agersbaek, as well as my fellow postgrads for their help, support and
suggestions.
Sincere thanks to Anthony Murphy for his invaluable assistance in the construction of
the experimental rig.
Finally, I wish to thank my parents, family, girlfriend and friends for all their
encouragement over the last few years.
II
Contents
Abstract
Acknowledgements
Contents
1 Introduction
I
II
III
1
1.0 Motivation and overview........................................................................... 1
1.1 Historical review.......................................................................................... 4
1.2 Outline of thesis....................................................................................... 11
2 Operating principles and characteristics of SRMs
13
2.0 Introduction.............................................................................................. 13
2.1 The switched reluctance machine............................................................. 13
2.2 Mathematical description of the S R M ...................................................... 19
2.2.1
Torque calculation using co-energy.........................................22
2.3 Torque/speed characteristic...................................................................... 26
2.4 Power converter........................................................................................ 27
2.5 Dynamic operation o f the S R M ................................................................ 29
2.5.1
2.5.2
Low speed motoring................................................................ 30
High speed motoring............................................................... 35
2.6 Fundamentals of SR generation................................................................ 37
2.7 Summary of the advantages/disadvantages o f S R M s.............................. 43
3 Initial investigative work
46
3.0 Introduction............................................................................................... 46
3.1 M A TLAB /Sim ulink.................................................................................46
3.1.1
3.1.2
M A T L A B ............................................................................... 46
Simulink................................................................................. 47
3.2 Simple S R M model employed in the simulation work............................ 48
3.3 Torque estimation using a self-tuning SR M model..................................55
3.4 Self-tuning torque ripple minimisation controller....................................61
3.5 SR generator control using an inverse model approach.......................... 67
III
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