Optimal Signgle-Input PID Type Fuzzy Logic Controller Design with Genetic Algorithm

Author

Wu, Bing-Fei ; Ma, Li-Shan ; Perng, Jau-Woei ; Lee, Tsu-Tian

Author_Institution

Nat. Chiao Tung Univ., Hsinchu

Volume

4

fYear

2007

fDate

19-22 Aug. 2007

Firstpage

2000

Lastpage

2004

Abstract

In this paper, the PID type single-input fuzzy logic controller (SFLC) is proposed by modified from PD type SFLC. By proposed structure, the steady error from PD type SFLC can be improved. Furthermore, the optimal control performance can be achieved by tuning membership function and gain parameter with genetic algorithm (GA). The simulation results show the proposed structure has better performance by comparing with GA PID and Ziegler-Nichols PID approaches.

Keywords

control system synthesis; fuzzy control; genetic algorithms; optimal control; three-term control; PID control; control design; gain parameter; genetic algorithm; membership function; optimal control; single-input fuzzy logic controller; Algorithm design and analysis; Automatic control; Cybernetics; Error correction; Fuzzy logic; Genetic algorithms; Machine learning; Optimal control; Steady-state; Three-term control; Fuzzy logic controller; Genetic algorithm (GA); Optimal control; PID type controller; Single input fuzzy logic Controller (SFLC);

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2007 International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-0973-0

Electronic_ISBN

978-1-4244-0973-0

Type

conf

DOI

10.1109/ICMLC.2007.4370475

Filename

4370475