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
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;
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
DOI :
10.1109/TENCON.2002.1182666
