Title :
Robust Fuzzy Logic Controller for an Intelligent Gantry Crane System
Author :
Wahyudi ; Jalani, J.
Author_Institution :
Dept. of Mechatronics Eng., Islamic Univ., Malaysia
Abstract :
The use of gantry crane systems for transporting payload is very common in industrial application. However, moving the payload using the crane is not an easy task especially when strict specifications on the swing angle and on the transfer time need to be satisfied. To overcome this problem, an intelligent gantry crane system had been introduced. Fuzzy logic controllers were adopted, designed and implemented for controlling payload position as well as the swing angle of the gantry crane. In this paper, robustness of the proposed intelligent gantry crane system is evaluated and compared with an automatic gantry crane controlled by the classical PID controllers. The result shows that the intelligent gantry crane system is more robust to parameter variation than the automatic gantry crane system
Keywords :
cranes; fuzzy control; intelligent control; position control; robust control; transportation; industrial application; intelligent gantry crane system; parameter variation; payload transportation; position control; robust fuzzy logic controller; swing angle control; Automatic control; Control systems; Cranes; Electrical equipment industry; Fuzzy logic; Intelligent systems; Payloads; Robust control; Robustness; Three-term control;
Conference_Titel :
Industrial and Information Systems, First International Conference on
Conference_Location :
Peradeniya
Print_ISBN :
1-4244-0322-7
DOI :
10.1109/ICIIS.2006.365778