The Self-Tuning Fuzzy Control Research Based on Improved Genetic Algorithm

Author

Er-jun Lou ; Haoyong Chen

Author_Institution

Sch. of Electr. Eng., South China Univ. of Technol., Guangzhou, China

fYear

2012

fDate

27-29 March 2012

Firstpage

1

Lastpage

4

Abstract

This paper uses a PI-type dual-input and single-output self-tuning fuzzy controller to solve the non-linear problem of the electrical system´s speed control system. At first its structure is analyzed, and the membership functions and control rules are set. Secondly, an improved genetic algorithm is used to optimize its three parameters, including two quantization factors and one scale factor. Finally through simulation experiments and compared with the conventional fuzzy control and the fuzzy control based on gradient method, the effectiveness and superiority of this self-tuning fuzzy controller are verified.

Keywords

PI control; angular velocity control; fuzzy control; genetic algorithms; nonlinear control systems; power system control; PI-type dual-input self-tuning fuzzy controller; electrical system speed control system; gradient method; improved genetic algorithm; membership function; nonlinear problem; quantization factor; scale factor; simulation experiment; single-output self-tuning fuzzy controller; Educational institutions; Frequency control; Fuzzy control; Genetic algorithms; Load modeling; Niobium; Optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific

Conference_Location

Shanghai

ISSN

2157-4839

Print_ISBN

978-1-4577-0545-8

Type

conf

DOI

10.1109/APPEEC.2012.6307587

Filename

6307587