A particle swarm optimization approach for backstepping sliding mode control for flight simulator servo system

Author

Fei Li ; Jian-bo Hu ; Chao Zhang ; Jieyu Lei ; Wen-hui Zhu

Author_Institution

Materiel Manage. & Safety, Eng. Coll., Air Force Eng. Univ., Xi´an, China

fYear

2014

fDate

9-11 June 2014

Firstpage

759

Lastpage

764

Abstract

In this paper, an optimal global backstepping sliding mode controller, used for tracking the position of flight simulation turntable, is presented. In order to overcome against the parameter uncertainties and nonlinear friction compensation for the tracking position, a global backstepping sliding mode control is designed. The Lyapunov proof shows the closed-loop system in the presence of this controller global asymptotic stability. Then a novel adaptive inertia weight PSO is proposed in order to obtain the optimal parameters of the global backstepping sliding mode controller . the simulation results confirm desirable performance of the particle swarm optimization and the optimal global backstepping sliding mode control.

Keywords

Lyapunov methods; aerospace simulation; asymptotic stability; closed loop systems; control system synthesis; friction; nonlinear control systems; optimal control; particle swarm optimisation; position control; servomechanisms; variable structure systems; Lyapunov proof; adaptive inertia weight PSO; closed-loop system; controller global asymptotic stability; flight simulation turntable position tracking; flight simulator servo system; nonlinear friction compensation; optimal global backstepping sliding mode controller; parameter uncertainties; particle swarm optimization approach; Aerospace simulation; Backstepping; Friction; Mathematical model; Optimization; Servomotors; Sliding mode control; backstepping sliding mode control; parameters optimization; particle swarm optimization; uncertainties;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4799-4316-6

Type

conf

DOI

10.1109/ICIEA.2014.6931264

Filename

6931264