Adaptive High Gain PI Controller for Speed Regulation of Induction Motor Drive System

A Master of Science thesis in Electrical Engineering by Sarah Adnan AlBarri entitled, “Adaptive High Gain PI Controller for Speed Regulation of Induction Motor Drive System”, submitted in December 2019. Thesis advisor is Dr. Habibur Rehman and thesis co-advisor is Dr Shayok Mukhopadhyay. Soft copy i...

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Main Author: AlBarri, Sarah Adnan (author)
Format: doctoralThesis
Published: 2019
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Online Access:http://hdl.handle.net/11073/16578
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author AlBarri, Sarah Adnan
author_facet AlBarri, Sarah Adnan
author_role author
dc.contributor.none.fl_str_mv Rehman, Habib-ur
Mukhopadhyay, Shayok
dc.creator.none.fl_str_mv AlBarri, Sarah Adnan
dc.date.none.fl_str_mv 2019-12
2020-01-26T08:15:32Z
2020-01-26T08:15:32Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2019.66
http://hdl.handle.net/11073/16578
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Adaptive PI gains
High gain
Epsilon modification
Induction motor speed regulation
Sigma
Deadzone and epsilon modifications
dc.title.none.fl_str_mv Adaptive High Gain PI Controller for Speed Regulation of Induction Motor Drive System
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Electrical Engineering by Sarah Adnan AlBarri entitled, “Adaptive High Gain PI Controller for Speed Regulation of Induction Motor Drive System”, submitted in December 2019. Thesis advisor is Dr. Habibur Rehman and thesis co-advisor is Dr Shayok Mukhopadhyay. Soft copy is available (Thesis, Approval Signatures, Completion Certificate, and AUS Archives Consent Form).
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identifier_str_mv 35.232-2019.66
language_invalid_str_mv en_US
network_acronym_str aus
network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/16578
publishDate 2019
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spelling Adaptive High Gain PI Controller for Speed Regulation of Induction Motor Drive SystemAlBarri, Sarah AdnanAdaptive PI gainsHigh gainEpsilon modificationInduction motor speed regulationSigmaDeadzone and epsilon modificationsA Master of Science thesis in Electrical Engineering by Sarah Adnan AlBarri entitled, “Adaptive High Gain PI Controller for Speed Regulation of Induction Motor Drive System”, submitted in December 2019. Thesis advisor is Dr. Habibur Rehman and thesis co-advisor is Dr Shayok Mukhopadhyay. Soft copy is available (Thesis, Approval Signatures, Completion Certificate, and AUS Archives Consent Form).The performance of a speed regulator of an indirect field oriented (IFO) induction motor with a fixed gain proportional-integral (PI) controller degrades specifically under external disturbances and parameter variations. To date, most of the manufacturing industry prefers the use of PI controllers due to their implementation simplicity and predictable PI tuning behavior. One of the proposed solutions for tuning PI gains is by using high gain adaptation, which automatically adjusts the gains based on the motor speed tracking. Despite various proposed techniques in which high gain adaptive PI tuning is utilized, instability occurs when this controller is tested on an induction motor. The high gain adaptive PI gains keep increasing boundlessly under external disturbances and encoder noise, thus making the system unstable. To overcome this instability, sigma, deadzone, and epsilon modifications are applied to the high gain adaptive law. In this work, the performance of the high gain adaptively tuned PI controller with sigma, deadzone, and epsilon modification is evaluated. The epsilon high gain controller is found to perform better than sigma and deadzone modifications. Therefore, detailed experimental validation of the epsilon modified high gain controller is performed. The tests applied are step and square wave reference tracking, disturbance rejection, detuning and field weakening. Moreover, the effect of the initial conditions of the adaptive PI gains is investigated. The results are compared with the conventional fixed gains PI controller. The epsilon modification high gain adaptively tuned PI controller is also investigated on the electric vehicle traction system. The effects of the adaptively tuned PI gains on the battery state of charge is noted using Coulomb’s counting method. The evaluation results show that epsilon modified high-gain adaptive PI controller provides a better speed tracking performance than the fixed gain PI controller, while requiring almost the same torque commanded current.College of EngineeringDepartment of Electrical EngineeringMaster of Science in Electrical Engineering (MSEE)Rehman, Habib-urMukhopadhyay, Shayok2020-01-26T08:15:32Z2020-01-26T08:15:32Z2019-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2019.66http://hdl.handle.net/11073/16578en_USoai:repository.aus.edu:11073/165782025-06-26T12:24:00Z
spellingShingle Adaptive High Gain PI Controller for Speed Regulation of Induction Motor Drive System
AlBarri, Sarah Adnan
Adaptive PI gains
High gain
Epsilon modification
Induction motor speed regulation
Sigma
Deadzone and epsilon modifications
status_str publishedVersion
title Adaptive High Gain PI Controller for Speed Regulation of Induction Motor Drive System
title_full Adaptive High Gain PI Controller for Speed Regulation of Induction Motor Drive System
title_fullStr Adaptive High Gain PI Controller for Speed Regulation of Induction Motor Drive System
title_full_unstemmed Adaptive High Gain PI Controller for Speed Regulation of Induction Motor Drive System
title_short Adaptive High Gain PI Controller for Speed Regulation of Induction Motor Drive System
title_sort Adaptive High Gain PI Controller for Speed Regulation of Induction Motor Drive System
topic Adaptive PI gains
High gain
Epsilon modification
Induction motor speed regulation
Sigma
Deadzone and epsilon modifications
url http://hdl.handle.net/11073/16578