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Permanent link (DOI): https://doi.org/10.7939/R3B31C

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Geometrical permeance network based real-time nonlinear induction machine model Open Access

Descriptions

Other title
Subject/Keyword
Permeance network model
Real-time simulation
Squirrel cage induction machine
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Asghari, Babak
Supervisor and department
Dr. Venkata Dinavahi (Electrical and Computer Engineering)
Examining committee member and department
Dr. Walied Moussa (Mechanical Engineering)
Dr. Wilsun Xu (Electrical and Computer Engineering)
Dr. Subhasis Nandi (Electrical and Computer Engineering, University of Victoria)
Dr. Venkata Dinavahi (Electrical and Computer Engineering)
Dr. John Salmon (Electrical and Computer Engineering)
Dr. Behrouz Nowrouzian (Electrical and Computer Engineering)
Department
Electrical and Computer Engineering
Specialization

Date accepted
2011-06-02T19:03:41Z
Graduation date
2011-11
Degree
Doctor of Philosophy
Degree level
Doctoral
Abstract
Real-time digital simulation of electrical machines and drives is an efficient approach to evaluate the true behavior of newly designed machines and controllers before applying them in a real system. State-of-the-art real-time digital simulators aim to offer a precise replica for different parts of an electrical drive. By the aid of these powerful simulators and hardware-in-the-loop (HIL) simulation, design engineers are able to test their new controllers or machines against a virtual motor drive which has been previously modeled and tested off-line. Interaction between different parts of the electrical drive, especially under hazardous and abnormal conditions, can then be studied in a cost-effective manner. Although many studies about the optimized models of power electronic drives and digital controllers for real-time simulation have been done, the real-time models of electrical machines are still limited to the lumped parameter electric circuit models. This is mainly due to the complexity of a detailed electrical machine model which makes it computationally expensive. In this thesis geometrical real-time permeance network models (PNMs) of induction machines are developed which can accommodate the local phenomena inside an electric machine such as saturation and slotting. For this purpose, numerical methods inside the model are optimized to reduce the computation time. Novel nonlinear solution algorithms are also developed to address the problem of real-time simulation of nonlinear systems. Next, the proposed model is linked with other parts of an electric drive to develop a PNM-based real-time induction motor drive. A comparison of the results obtained through real-time simulation and experiment shows their agreement.
Language
English
DOI
doi:10.7939/R3B31C
Rights
License granted by Babak Asghari (basghari@ece.ualberta.ca) on 2011-06-02T16:55:44Z (GMT): Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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