DocumentCode :
175658
Title :
Optimization method based swing-up control and visual validation for rail length-limited parallel-coupled cart-pendulums system
Author :
Mengqi Xue ; Minrui Fei
Author_Institution :
Shanghai Key Lab. of Power Station Autom. Technol., Shanghai Univ., Shanghai, China
fYear :
2014
fDate :
May 31 2014-June 2 2014
Firstpage :
826
Lastpage :
833
Abstract :
This paper introduces a rail length-limited parallel-coupled cart-pendulums system which is one of the morphs from the inverted pendulum family. A swing-up control strategy based on optimization algorithm (pattern search) instead of manual tuning has been proposed for such kind of system to swing the pendulums up cooperating with the original stabilizing controller. The blockset-view of the system is presented in Matlab/Simulink. For a clearer demonstration of the feasibility of the strategy, a visual validation is implemented through the VRML 2.0 based 3D animation blocks supplied in Simulink. With the use of the optimization tool along with the dynamic simulation results obtained in Matlab/Simulink, proper swing-up signal parameters will be derived for the system. The proposed swing-up strategy is proved effective under the visual demonstration and the diagram analyses about the simulation results.
Keywords :
computer animation; control engineering computing; diagrams; nonlinear control systems; optimisation; pendulums; search problems; stability; Matlab/Simulink; VRML 2.0 based 3D animation blocks; diagram analyses; dynamic simulation; inverted pendulum family; optimization algorithm; optimization method based swing-up control; optimization tool; pattern search; rail length-limited parallel-coupled cart-pendulums system; stabilizing controller; swing-up signal parameters; system blockset-view; visual demonstration; visual validation; Acceleration; Mathematical model; Optimization; Rails; Springs; Switches; Parallel-coupled cart-pendulums system; Pattern search; Rail length-limited; Simulation; Swing-up control; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
Type :
conf
DOI :
10.1109/CCDC.2014.6852279
Filename :
6852279
Link To Document :
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