![]() ![]() ![]() Subsequently, the fault diagnosis scheme is established based on the idea of information fusion. The periodic disturbance on orbit can be decoupled with fault by resorting to the fitting and memory ability of neural network. To this end, a disturbance observer based on neural network is developed for active anti-disturbance, so as to improve the accuracy of fault diagnosis. ![]() This paper proposes a neural network-based fault diagnosis scheme to address the problem of fault isolation and estimation for the Single-Gimbal Control Moment Gyroscopes (SGCMGs) of spacecraft in a periodic orbit. ![]()
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