MEA-based fuzzy self-adaptive control

Author

Yonggui Du ; Xie, Gang ; Xie, Keming

Author_Institution

Inf. Eng. Coll., Taiyuan Univ. of Technol., China

Volume

3

fYear

2002

fDate

2002

Firstpage

1887

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on

Print_ISBN

0-7803-7268-9

Type

conf

DOI

10.1109/WCICA.2002.1021411

Filename

1021411