Title :
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
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;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4956-4
DOI :
10.1109/IHMSC.2014.149
