Date of Award

Fall 1995

Document Type

Thesis - Restricted

Degree Name

Master of Science (MS)

Department

Electrical and Computer Engineering

First Advisor

Feng, Xin

Second Advisor

Arkadan, Abdul-Rahman A.

Third Advisor

Brown, Ronald H.

Abstract

This thesis presents a new technique for the control of switched reluctance motors (SRM). Although, SRMs were originally built in the 19th century, their use was not widespread due to their high nonlinearity. SRMs are considered more desirable for certain applications due to their extremely simple construction and fault tolerant operation. Unfortunately, the high nonlinearities make it difficult to derive tractable mathematical models and hence conventional control algorithms. Fuzzy logic control is ideally suited to the control of systems with uncertain characteristics. In this thesis fuzzy logic control is applied to the design of a SRM velocity controller. Also, an adaptive algorithm is presented that minimizes the torque and speed ripple even in the presence of unknown systems nonlinearities and changes in system parameters.

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