Robust Control Allocation for Spacecraft Attitude Stabilization under Actuator Faults and Uncertainty
Author(s) -
Aihua Zhang,
Yongchao Wang,
Zhiqiang Zhang,
Hamid Reza Karimi
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/789327
Subject(s) - actuator , robustness (evolution) , control theory (sociology) , computer science , attitude control , fault tolerance , spacecraft , algorithm , control engineering , artificial intelligence , control (management) , engineering , aerospace engineering , chemistry , distributed computing , biochemistry , gene
A robust control allocation scheme is developed for rigid spacecraft attitude stabilization in the presence of actuator partial loss fault, actuator failure, and actuator misalignment. First, a neural network fault detection scheme is proposed, Second, an adaptive attitude tracking strategy is employed which can realize fault tolerance control under the actuator partial loss and actuator failure within λmin=0.5. The attitude tracking and faults detection are always here during the procedure. Once the fault occurred which could not guaranteed the attitude stable for 30 s, the robust control allocation strategy is generated automatically. The robust control allocation compensates the control effectiveness uncertainty which caused the actuator misalignment. The unknown disturbances, uncertain inertia matrix, and even actuator error with limited actuators are all considered in the controller design process. All are achieved with inexpensive online computations. Numerical results are also presented that not only highlight the closed-loop performance benefits of the control law derived here but also illustrate its great robustness
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