DocumentCode
1561077
Title
Evolutionary linear control strategies of triple inverted pendulums and simulation studies
Author
Pan, Wang ; Chengzhi, Xu ; Zhun, Fan
Author_Institution
Dept. of Autom., Wuhan Univ. of Technol., China
Volume
3
fYear
2004
Firstpage
2365
Abstract
Research significance, development in theories and applications and several classical intelligent control strategies for inverted pendulum(s) are briefly described. Evolutionary linear control strategy is presented to triple inverted pendulums, with the characteristics of complex non-linearity, strong duality and quick time-variance. Under the guidance of comprehensive performance function weighted ITAE, this strategy searches for the satisfactory parameters by adaptive genetic algorithm the authors presented where the crossover and mutation probability are changed with the fitness function value nonlinearly. Tracking simulations, anti-disturbance and robust experiments are given. The simulation results illustrate that this strategy has ideal dynamic, steady performance, anti-disturbance and robustness.
Keywords
duality (mathematics); genetic algorithms; intelligent control; nonlinear control systems; pendulums; principal component analysis; robust control; adaptive genetic algorithm; complex nonlinearity; crossover probability; duality; evolutionary linear control; fitness function; intelligent control; mutation probability; performance function; robustness; time variance; tracking simulations; triple inverted pendulums; Adaptive control; Automatic control; Computational modeling; Control systems; Genetic algorithms; Intelligent control; Nonlinear control systems; Optimal control; Robust control; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN
0-7803-8273-0
Type
conf
DOI
10.1109/WCICA.2004.1342017
Filename
1342017
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