A Gain-Adjusted Fuzzy PI/PD Adaptive Controller Based on the Accumulated Genetic Algorithm

Author

Lin, Chin-Chin ; Yao, Leehter ; Chou, Chien-Hsing

Author_Institution

Dept. of Electr. Eng., Nat. Taipei Univ. of Technol.

fYear

2005

fDate

25-25 May 2005

Firstpage

513

Lastpage

518

Abstract

In this paper, a gain-adjusted fuzzy PI/PD (GFPIPD) adaptive controller is proposed. The proposed controller first constructs fuzzy rules for fuzzy PD/PI controller with the fixed weighting. Then the fuzzy rules, which self-learning their parameters for a desired condition, are learned through the accumulated GA. Finally, fuzzy gain-adjusted mechanism is further learned through the accumulated GA for the variations of a measured system dynamics. The proposed GFPIPD controller is tested by the high order systems with time delay and variable system dynamics. The experimental results illustrate the performance of the proposed method

Keywords

PD control; PI control; adaptive control; control system synthesis; delays; fuzzy control; fuzzy set theory; gain control; genetic algorithms; unsupervised learning; variable structure systems; PD controller; PI controller; adaptive controller; fixed weighting; fuzzy controller; fuzzy rules; gain adjustment; genetic algorithm; high order systems; self learning; time delay; variable system dynamics; Adaptive control; Control systems; Fuzzy control; Fuzzy systems; Gain measurement; Genetic algorithms; PD control; Programmable control; System testing; Two-term control;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on

Conference_Location

Reno, NV

Print_ISBN

0-7803-9159-4

Type

conf

DOI

10.1109/FUZZY.2005.1452446

Filename

1452446