Title :
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
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;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0545-8
DOI :
10.1109/APPEEC.2012.6307587
