DocumentCode
3227744
Title
Proposal of GA-based two-stage fuzzy control of overhead crane
Author
Diantong, Liu ; Jianqiang, Yi ; Min, Tan
Author_Institution
Inst. of Autom., Acad. Sinica, Beijing, China
Volume
3
fYear
2002
fDate
28-31 Oct. 2002
Firstpage
1721
Abstract
A genetic algorithm(GA)-based two-stage fuzzy controller is proposed for overhead crane. In this controller, two fuzzy sub-controllers are designed to respectively control the swing and displacement. A real-valued GA is used twice in different stages to adjust the parameters of the controllers to ensure the positioning precision, minimize transporting time and swing angle, and damp swing angle at target position. Simulation results demonstrate the effectiveness of this approach.
Keywords
cranes; fuzzy control; genetic algorithms; minimisation; optimal control; GA-based two-stage fuzzy control; controller parameter adjustment; fuzzy sub-controllers; genetic algorithm; overhead crane; real-valued GA; swing angle damping; transporting time minimization; Control systems; Cranes; Displacement control; Equations; Fuzzy control; Fuzzy logic; Fuzzy sets; Genetics; Open loop systems; Proposals;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN
0-7803-7490-8
Type
conf
DOI
10.1109/TENCON.2002.1182666
Filename
1182666
Link To Document