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

fYear

2009

fDate

17-19 June 2009

Firstpage

13

Lastpage

17

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CCDC.2009.5195140

Filename

5195140