Degree Type

Dissertation

Date of Award

1992

Degree Name

Doctor of Philosophy

Department

Industrial Education and Technology

First Advisor

William D. Wolansky

Abstract

An expert fuzzy logic controller with adaptive learning is proposed as an intelligent controller for servo systems. A key component of this controller is an adaptive learning mechanism which is used to self-regulate the scaling factors and the control action based on the error between the desired value and the plant output. The inference engine of this controller is based on the principle of approximate reasoning and the learning strategy is based on reinforcement learning. A novel approach of model reference adaptive control is also proposed for servo systems. The comparison of the performance between the proposed controller and PID controllers is discussed. The simulation results show that the performance of the proposed controller is better than the conventional approach or previous research. The real-time application demonstrates that a faster response of a servo system can be achieved. Furthermore, the proposed controller is relatively insensitive to variations in the parameters of control systems.

DOI

https://doi.org/10.31274/rtd-180813-9693

Publisher

Digital Repository @ Iowa State University, http://lib.dr.iastate.edu/

Copyright Owner

Zong-Mu Yeh

Language

en

Proquest ID

AAI9302020

File Format

application/pdf

File Size

143 pages

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