Zinger, Donald S.
M.S. (Master of Science)
Department of Electrical Engineering
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.
Mohammed Abdul, Nauman Moiz, "Partial Shading in Photovoltaic Cells Using Fuzzy Logic Tuned Particle Swarm Optimization Method of Maximum Power Point Tracking Control" (2020). Graduate Research Theses & Dissertations. 7460.
Northern Illinois University
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.