Publication Date

2020

Document Type

Dissertation/Thesis

First Advisor

Zinger, Donald S.

Second Advisor

Guo, Liping

Degree Name

M.S. (Master of Science)

Legacy Department

Department of Electrical Engineering

Abstract

This paper dealt with the study of a newly modified fuzzy adaptive particle swarm

optimization controller and compared it with various existing conventional and advanced

controllers. A traditional PSO controller has the problems of oscillations and slow convergence. It is modified using fuzzy logic to decrease the number of oscillations and optimize

the convergence speed to produce a better efficient output. This controller is built to adapt

under various solar irradiances and partial solar conditions on the solar panels. This controller is then tested along with other various controllers, results recorded and studied. The

simulations are performed on the MatLab 2019a software.

Extent

71 pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Media Type

Text

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