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
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;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1342017