Date of Award


Publication Type

Master Thesis

Degree Name



Electrical and Computer Engineering

First Advisor

Chen, X.


Engineering, Electronics and Electrical.




Switched Reluctance Motor (SRM) drive is considered as a possible alternative to other conventional variable-speed drives because of several advantages [1], [2]. However, in order for the performance of a switched reluctance motor drive to suit several applications, it has to be tailored through appropriate control. Rotor position sensing is an integral part of SRM control because of the nature of torque production. Sensorless control reduces overall cost and dimension of the drive in addition to improving reliability. In this thesis, an Inductance Model Based Sensorless [8] Switched Reluctance Motor is used to design the drive controller for SRM. A hysteresis current controller and a speed controller were implemented to produce smooth torque and a stable speed for SRM. In addition, the do power supply for the SRM was derived from Fuel Cell Stack rather than from batteries or from utility lines through a front-end diode rectifier. In this research, first, the current controller and the speed controller are developed and connected to the Inductance Based Sensorless SRM model with the Fuel Cell Stack model and an offline simulation using Matlab/Simulink is obtained. A detailed computer model of the SRM control drive connected to the Fuel Cell stack model is developed in which the design of the proposed controller scheme is verified. As a next major step, a Real-Time simulation was obtained for the model using Opal-RT platform, and a comparison between the offline simulation results and real time simulation results is developed. As a final step, the characteristics of the SRM Inductance model, Controller model, and the Fuel Cell stack model are studied in detail, which is required in order to use them in future applications.Dept. of Electrical and Computer Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2004 .S246. Source: Masters Abstracts International, Volume: 43-05, page: 1783. Adviser: X. Chen. Thesis (M.A.Sc.)--University of Windsor (Canada), 2004.