Research on fuzzy-PID excitation controller of synchronous generator based on improved PSO algorithm

In view of the difficulty in adjusting the quantization factor and scale factor in the traditional fuzzy PID control, the paper proposes an improved fuzzy PID control method based on particle swarm optimization (PSO) searching algorithm, which optimizes the quantization factor and scale factor in th...

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Bibliographic Details
Published in2009 International Conference on Machine Learning and Cybernetics Vol. 2; pp. 770 - 775
Main Authors Hui He, Jian-Zhong Zhou, Hui Lei, Chao-Shun Li, Li Yang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Control systems
Error correction
Excitation control
Fuzzy control
fuzzy PID
Machine learning
Optimal control
particle swarm optimization
Power system stability
Quantization
quantization factor
scale factor
Synchronous generators
Three-term control
Voltage control
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Summary:In view of the difficulty in adjusting the quantization factor and scale factor in the traditional fuzzy PID control, the paper proposes an improved fuzzy PID control method based on particle swarm optimization (PSO) searching algorithm, which optimizes the quantization factor and scale factor in the fuzzy PID controller, and improves the searching ability of PSO by using rebound strategy, to make the particle rebound instead of being limited in the boundary. The improved PSO fuzzy control method is implemented to rectify the traditional PID control parameters, and is applied in the excitation control of synchronous generator. The simulation research verifies that the proposed method has a better ability of controlling, and offers a new approach for the intelligent control to be applied in excitation control of large synchronous generator.
ISBN:9781424437023
1424437024
ISSN:2160-133X
DOI:10.1109/ICMLC.2009.5212402