Adaptive Sliding Mode Fault Tolerant Attitude Tracking Control for Flexible Spacecraft Under Actuator Saturation


A unique fault tolerant perspective tracking management scheme is developed for versatile spacecraft with partial loss of actuator effectiveness fault. Neural networks are initial introduced to account for system uncertainties, and an adaptive sliding mode controller springs by using on-line updating law to estimate the certain of actuator fault such that any information of the fault is not needed. To any address actuator saturation downside, a modified fault tolerant control law is then presented to ensure that the ensuing management signal will never incur saturation. It is shown that the roll, pitch and yaw angle trajectories can globally asymptotically track the required perspective in the face of faulty actuator, system uncertainties, external disturbances and even actuator saturation. A simulation example of a versatile spacecraft is given to illustrate the effectiveness of the proposed controller.

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