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A recurrent neural network (RNN)-based adaptive attitude controller is developed, which achieves attitude tracking in the presence of uncertain actuator inertia in addition to time-varying, uncertain satellite inertia. The satellite control torques are produced by means of a cluster of variable speed control moment gyroscopes (VSCMGs). The adaptive attitude controller results from a RNN structure...
A robust adaptive fuzzy identification and trajectory tracking control approach is developed for a class of multi-input-multi-output (MIMO) nonlinear systems in the presense of unmodeled uncertainties, parametric uncertainties, and external disturbances. A sliding mode-based fuzzy model identification/observer method is used to provide additional feedback of the unknown system dynamics. The model...
An adaptive robust integrated power and attitude control system (IPACS) is presented for a variable speed control moment gyroscope (VSCMG)-actuated satellite. The developed IPACS method is capable of achieving precision attitude control while simultaneously achieving asymptotic power tracking for a rigid-body satellite in the presence of dynamic uncertainty in the VSCMG gimbals and wheels. In addition,...
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