Title :
Composite sliding mode fuzzy control for double-pendulum-type overhead crane
Author :
Liu, Dian-tong ; Guo, Wei-Ping ; Yi, Jian-qiang
Author_Institution :
Inst. of Comput. Sci. & Technol., Yantai Univ., Shandong, China
Abstract :
A composite sliding mode fuzzy control (CSMFC) approach is proposed for the underactuated double-pendulum-type overhead crane (DPTOC). The nonlinear dynamic model of DPTOC is built using Lagrangian method. The composite sliding mode function (CSMF) consists of three sliding mode functions that are used to decouple the complex DPTOC. In the CSMFC, CSMF works as the antecedent and control variable works as the consequent. The proposed control approach greatly reduces the complexity to design a controller for complex underactuated systems. The control system stability is analyzed for DPTOC through variable structure control theory. Simulation results illustrate the validity of proposed control algorithm.
Keywords :
cranes; fuzzy control; nonlinear dynamical systems; pendulums; stability; variable structure systems; Lagrangian method; composite sliding mode fuzzy control; control system stability; nonlinear dynamic model; underactuated double-pendulum-type overhead crane; variable structure control theory; Algorithm design and analysis; Control systems; Cranes; Fuzzy control; Fuzzy logic; Fuzzy systems; Neural networks; Payloads; Sliding mode control; Stability analysis; Double-pendulum-type overhead crane; composite sliding mode fuzzy control; system stability;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527047