DocumentCode :
2320804
Title :
Double-pendulum-type overhead crane dynamics and its adaptive sliding mode fuzzy control
Author :
Liu, Dian-tong ; Guo, Wei-Ping ; Yi, Jian-qiang ; Zhao, Dong-Bin
Author_Institution :
Sch. of Comput. Sci. & Technol., Yantai Univ., Shandong, China
Volume :
1
fYear :
2004
fDate :
26-29 Aug. 2004
Firstpage :
423
Abstract :
The overhead crane exhibits the double-pendulum dynamics because of the large-mass hook. The nonlinear dynamic model of the double-pendulum-type overhead crane is built using the Lagrangian method. Several properties of the system model such as the underactuated property, the passivity, and its two nature frequencies are analyzed. An adaptive sliding mode fuzzy control method is proposed for double-pendulum-type overhead crane. The method greatly reduces the rules of regular fuzzy logic controller and well utilizes some adaptive methods of sliding mode controller. Simulation results illustrate the complex system dynamics of the double-pendulum-type overhead crane and the proposed control algorithm.
Keywords :
adaptive control; cranes; fuzzy control; nonlinear control systems; variable structure systems; Lagrangian method; adaptive sliding mode fuzzy control; double-pendulum-type overhead crane dynamic; fuzzy logic controller; nonlinear dynamic model; Adaptive control; Algorithm design and analysis; Cranes; Fuzzy control; Fuzzy logic; Neural networks; Nonlinear dynamical systems; Payloads; Programmable control; Sliding mode control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
Type :
conf
DOI :
10.1109/ICMLC.2004.1380723
Filename :
1380723
Link To Document :
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