Governor control optimization of hydro power plants using hybrid fuzzy logic and PID control.

Control of hydro power plants has been an issue of concern for researchers; moreover, more emphasis has always been put on governor control which naturally has slower response, but vital in ensuring system stability and elimination of load tracking errors. This thesis studies on ways to use fuzzy logic control (FLC) together with the conventional proportional-integral-derivative (PID) controllers to aid in this process. However, coming up with the inputs, rule base and the outputs, including a number of each of these in the FLC system has always been arbitrary hence proving it difficult for designers to come up with effective parameters for the FLC. This study focuses on ways in which a designer can use fuzzy logic interval partitioning to help come up with sound universe of discourse of variables which determines the effectiveness of the whole control system. This ultimately was put into use and gave us a faster and predictable approach of modelling the control system for hydro plants and gave us satisfactory results.

Name thesis:degree_name

M.S.E.C.E.

Level thesis:degree_level

Masters

Grantor

Baylor University.

Year dc:date.issued

2017

Author dc:creator

• Opado, Frederick Odhiambo, 1987-

Advisor dc:contributor.advisor

• Lee, Kwang Y.

• Fuzzy logic.

Statement dc:rights

• Baylor University works are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission.

Language dc:language.iso

en

Handle dc:identifier.uri

https://hdl.handle.net/2104/10150

OAI identifier oai:identifier

oai:baylor-ir.tdl.org:2104/10150