Title :
Intelligent adaptive backstepping controller design based on the adaptive particle swarm optimization
Author :
Xiaozhu, Xie ; Zaozhen, Liu ; Weining, Cui
Author_Institution :
Dept. of Inf. Eng., Acad. of Armored Force Eng., Beijing, China
Abstract :
An improved adaptive backstepping controller design method is proposed for a single input and single output nonlinear system with uncertainty and unknown parameter. The controller expression with undetermined parameters can be acquired by using adaptive backstepping design idea, and the controller parameters are optimized on using the adaptive particle swarm optimization (APSO). The backstepping controller can overcome the plant uncertainties and ensure the robust stability of system. The APSO is used to offset the disturbance and improve the tracking precision. Simulation experimental showed the method effectual.
Keywords :
adaptive control; control system synthesis; intelligent control; nonlinear control systems; particle swarm optimisation; stability; uncertain systems; adaptive particle swarm optimization; intelligent adaptive backstepping controller; plant uncertainty; robust stability; single-input-single-output nonlinear system; Adaptive control; Backstepping; Control systems; Design methodology; Design optimization; Nonlinear control systems; Nonlinear systems; Particle swarm optimization; Programmable control; Uncertainty; Adaptive Backstepping; Adaptive Particle Swarm Optimization; Uncertainty and unknown parameter;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5195140
