Premium
Adaptive Fuzzy PD+ Control for Attitude Maneuver of Rigid Spacecraft
Author(s) -
Chen Zhen,
Zhong Li,
Liu Xiangdong,
Cong Binglong
Publication year - 2016
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1116
Subject(s) - control theory (sociology) , robustness (evolution) , fuzzy logic , parametric statistics , actuator , spacecraft , fuzzy control system , attitude control , adaptive control , lyapunov function , controller (irrigation) , computer science , lyapunov stability , control engineering , engineering , mathematics , control (management) , nonlinear system , physics , artificial intelligence , aerospace engineering , agronomy , biochemistry , chemistry , statistics , quantum mechanics , biology , gene
In this paper, an adaptive fuzzy PD+ controller is proposed for the attitude maneuver of rigid spacecraft. The novel controller adjusts the gains of the PD+ attitude controller online according to attitude errors and angular velocity errors during the maneuver procedure. Therefore, quick response and avoidance of actuator saturation can be achieved simultaneously. Furthermore, the adaptation mechanism is designed, based on Lyapunov theory, to guarantee the stability of the closed‐loop system. To achieve good performance of the closed‐loop system under the constraint of actuator saturation, controller parameter optimization is developed on the basis of a genetic algorithm. Simulation results show that the transient performance and robustness against parametric uncertainty and environmental disturbance of the adaptive fuzzy PD+ controller are better than those of a constant PD+ controller.