Title :
MEA-based fuzzy self-adaptive control
Author :
Yonggui Du ; Xie, Gang ; Xie, Keming
Author_Institution :
Inf. Eng. Coll., Taiyuan Univ. of Technol., China
Abstract :
To improve the adaptability of a fuzzy controller, the performance of an I-F controller was analyzed, and by unifying its adjustable factor α and integral coefficient β, a MEA-fuzzy self-adaptive control structure is proposed in this paper. Parameters of α and β can be optimized by MEA (Mind-Evolutionary Algorithm) to adapt to the changes of the environment. The simulation results have shown that the MEA-fuzzy adaptive control has a sound structure and improved control quality, which help in finding optimal parameters, improving system speed and reducing the steady error.
Keywords :
adaptive control; evolutionary computation; fuzzy control; optimal control; self-adjusting systems; I-F controller; MEA-fuzzy self-adaptive control; Mind-Evolutionary Algorithm; adjustable factor; controller adaptability; error reduction; integral coefficient; parameter optimization; performance; simulation; system speed; Adaptive control; Automatic control; Automation; Educational institutions; Error correction; Fuzzy control; Information analysis; Intelligent control; Optimal control; Performance analysis;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1021411
