Fuzzy logic controller for overhead cranes

被引:13
作者
Hayajneh, MT [1 ]
Radaideh, SM
Smadi, IA
机构
[1] Jordan Univ Sci & Technol, Dept Ind Engn, Irbid, Jordan
[2] Jordan Univ Sci & Technol, Dept Elect Engn, Irbid, Jordan
关键词
modelling; fuzzy logic; cranes;
D O I
10.1108/02644400610638989
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Purpose - To propose a new method for controlling the overhead crane systems based on the theory of fuzzy logic with a reduced number of rules than has appeared before in the literature. The proposed fuzzy logic controller (FLC) can be implemented to move the overhead crane along a desired path while ensuring that the payload is swing free at the end of the motion. Design/methodology/approach - In this study, a FLC that includes two rule bases, one for displacement control, the other for swing control, was designed and successfully implemented to move the overhead crane along a desired path while ensuring that the payload is swing free at the end of the motion. Findings - Control simulation results demonstrate that by using the proposed FLC, the overhead traveling crane smoothly moves to the destination in short time with small swing angle and almost no overshoot. Originality/value - This paper offers practical help to whom are working in controlling the transporting the payloads to the required position as fast and as accurately as possible without collision with other equipments. The proposed FLC can be implemented to move the overhead crane along a desired path while ensuring that the payload is swing free at the end of the motion.
引用
收藏
页码:84 / 98
页数:15
相关论文
共 17 条
[1]   Observer-controller design for cranes via Lyapunov equivalence [J].
Giua, A ;
Seatzu, C ;
Usai, G .
AUTOMATICA, 1999, 35 (04) :669-678
[2]  
Lee HH, 2001, IEEE INT CONF ROBOT, P2956, DOI 10.1109/ROBOT.2001.933070
[3]  
LEE HH, 1998, ASME, V120, P471, DOI DOI 10.1115/1.2801488
[4]  
Mahfouf M., 1998, GEN PREDICTIVE CONTR
[5]  
MANSON GA, 1982, OPTIM CONTR APPL MET, V3, P115
[6]  
MOUSTAFA AFK, 1988, ASME, V110, P266
[7]  
Nalley MJ, 2000, J INTELL FUZZY SYST, V8, P1
[8]  
NOAKES W, 1992, ROBOTICS AUTONOMOUS, V10, P199
[9]  
PARK B, 2000, P IEEE INT C CONTR A, P5
[10]  
RIDOUT J, 1989, J ELECT ELECT ENG, V9, P17