Systems Engineering and Electronics ›› 2021, Vol. 43 ›› Issue (2): 508-518.doi: 10.12305/j.issn.1001-506X.2021.02.25

• Guidance, Navigation and Control • Previous Articles     Next Articles

Attitude control for spacecraft with uncertain parameters based on improved iterative learning

Xiaoman KE(), Yunhua WU(), Mohong ZHENG(), Wenxing LI(), Jinming DU(), Bing HUA(), Zhiming CHEN()   

  1. Academy of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2020-06-01 Online:2021-02-01 Published:2021-03-16

Abstract:

Aiming at the problems existing in the operation of the satellite, such as the change of the moment of inertia of the satellite after the on orbit assembly upgrade is large and difficult to determine, an attitude agile maneuver control method based on the improved predictive iterative learning control is proposed. Firstly, the improved cascade saturation control is used as the feedback controller to realize the stability of the original system. Secondly, the improved predictive iterative learning control is added as the feedforward controller to improve the dynamic performance, robustness and agility of the system. Then, the zero motion control law based on hybrid actuator is used to provide high precision and large torque, and the singularity of control moment gyroscope and the saturation of flywheel are solved. Finally, the superiority of the proposed controller is proved by simulation.

Key words: attitude agile control, uncertain parameter, cascade saturation control, iterative learning, hybrid actuator

CLC Number: 

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