Self-learning fuzzy control of flexible satellite based on the sliding mode control

The self-learning fuzzy control based on sliding mode control is applied to the attitude stabilization of flexible satellites. The detailed design procedure of the self-learning fuzzy control system is presented. The techniques of sliding mode control and the fuzzy decision making method are utilized to implement the proposed self-learning scheme. To solve the problem of sensitivity to external signals in the conventional self-organizing fuzzy control, the learning and modification of the controller are made in consideration of the location information of the error state vector as well as its motional trend. Thus the robustness of the control system is improved. The comparison between the proposed method and the conventional self-organizing fuzzy control method and the simulation results show the proposed method is insensitive to the parameter variety of the satellite. It could effectively reject the external disturbance and damp out the oscillation of flexible appendage, so as to obtain the accurate attitude control.