Parameter Optimization of ADRC for Spacecraft Attitude Maneuver Based on Particle Swarm Optimization Algorithm

Author

Ping Wang ; Hua Wang ; Guoyu Bai ; Lin Su

Author_Institution

Co. of Postgrad. Manage., Acad. of Equip., Beijing, China

Volume

2

fYear

2014

fDate

26-27 Aug. 2014

Firstpage

194

Lastpage

197

Abstract

In this paper, parameter of ADRC for spacecraft attitude maneuvering is optimizated. Nonlinear dynamics model of spacecraft attitude describes attitude motion. Particle Swarm Optimization Algorithm is used for parameter optimization of ADRC. The controller index which describes attitude adjustment capacity of three axes is designed. The influence of controller parameter is quantifiable on the control performance. The selection of parameter based on traditonal experience is avoided. Simulation results show that: the particle swarm optimization algorithm for system updates through the position and velocity. The system can quickly converge to the global optimal solution, and the parameter of ADRC is optimized.

Keywords

attitude control; nonlinear dynamical systems; particle swarm optimisation; space vehicles; ADRC; attitude adjustment capacity; attitude motion; control performance; controller index; global optimal solution; nonlinear dynamics model; parameter optimization; particle swarm optimization algorithm; spacecraft attitude maneuver; Adaptation models; Algorithm design and analysis; Attitude control; Observers; Optimization; Particle swarm optimization; Space vehicles; ADRC; Parameter optimization; Particle Swarm Optimization Algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4799-4956-4

Type

conf

DOI

10.1109/IHMSC.2014.149

Filename

6911480