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In this paper, a fault detection and recovery scheme is proposed for a reaction wheel type actuator of satellite attitude control systems. A state-space approach is used and a nonlinear-in-parameters neural network (NLPNN) is employed to identify the general unknown fault. The estimated fault is then used to reconfigure the controller. The recurrent network configuration is obtained by a combination...
This paper presents an actuator fault detection and identification (FDI) scheme for satellite attitude control systems. A state-space approach is used and a nonlinear-in-parameters neural network (NLPNN) is employed to identify the general unknown fault. The recurrent network configuration is obtained by a combination of feedforward network architectures and dynamical elements in the form of stable...
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