DocumentCode :
620533
Title :
Optimal relative attitude tracking control for spacecraft proximity operation
Author :
Peng Li ; Xiaokui Yue ; Xianbin Chi ; Chuan Du
Author_Institution :
Northwestern Polytech. Univ., Xi´an, China
fYear :
2013
fDate :
25-27 May 2013
Firstpage :
4582
Lastpage :
4587
Abstract :
Optimal control for relative attitude alignment and angular velocity tracking is discussed in this paper. The spacecraft relative attitude kinematics and dynamics based on quaternions are established during the spacecraft proximity operation. Then the attitude tracking problem is formulated as a nonlinear optimal control problem. After transform the relative attitude kinematics and dynamics into the state dependent coefficient form, with the consideration of nonlinear and time-varying properties lie in the model, the State Dependent Riccati Equation (SDRE) controller and θ-D controller are derived respectively. Numerical simulations through Matlab are made to validate the effectiveness of the model and the control law, it can be shown from the results that even though the solution of the SDRE method is more effective and the energy consumption is lower, the θ-D controller has an advantage in terms of computational efficiency, which can be solved in a fast manner.
Keywords :
Riccati equations; angular velocity control; attitude control; nonlinear control systems; optimal control; position control; space vehicles; time-varying systems; vehicle dynamics; θ-D controller; Matlab; SDRE controller; angular velocity tracking; computational efficiency; energy consumption; nonlinear control problem; numerical simulations; optimal relative attitude tracking control; quaternions; relative attitude alignment; relative attitude dynamics; relative attitude kinematics; spacecraft proximity operation; state dependent Riccati equation controller; state dependent coefficient form; time-varying properties; Angular velocity; Attitude control; Equations; Mathematical model; Quaternions; Satellites; Space vehicles; θ-D; Attitude Tracking; Optimal Control; SDRE;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
Type :
conf
DOI :
10.1109/CCDC.2013.6561762
Filename :
6561762
Link To Document :
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