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Fault diagnosis in attitude control system of satellite based on fuzzy sliding mode

Fan Wen1 Cheng Yuehua1,2 Jiang Bin1 ( 1 College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China) ( 2 Academy of Frontier Science,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)  
A fault diagnosis approach based on the Takagi-Sugeno( T-S) fuzzy and the sliding mode observer is proposed for actuator faults in the attitude control systems of a satellite. First,an attitude control system model of the satellite is constructed based on the T-S fuzzy and a sliding mode observer is proposed for state detection. The observer can maintain a sliding motion even in the presence of actuator faults; thus,the estimation of the faults can be directly achieved by equivalent output injection. When the upper bounds of the faults and disturbances are unknown,an iterative learning algorithm is used to calculate and update the switching gain of the sliding mode term,avoiding unnecessary chattering. And by using the concepts of H∞ ,a linear matrix inequality( LMI) is calculated to minimize the effects of disturbances on the estimation of the faults. The results of the numerical simulation show that the accurate estimation of the actuator faults can be obtained,which proves the effectiveness of this approach.
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