Research On Attitude Control Arithmetic For An Early-Warning Satellite With Mobile Bodies

Algorithm research of the early-warning satellite attitude control under the payload disturbance is a critical technology of ballistic missile early-warning system. This paper combines the key items of national high technical spaceflight fields, some beneficial approaches are proceeded for attitude control research aspect with mobile bodies. This paper aims at designing and developing our national missile early-warning satellite and supplying some effective technologies. The main contributions are as follows:First, the early-warning with infrared cameras dynamics and kinematics equations are established. Moment gyroscope is implement institution of the satellite attitude control system. The dynamics equation of single gimbal control moment gyroscope is set up, the control law of moment gycroscope is designed and the distribute matrix is confirmed reasonly.Secondly, attitude stabilization control of the satellite is researched in the phase of infrared camera scanning object. Equivalent disturbance moment by the infrared camera moving is seeked by constructing disturbance observation. The sliding mode variable-structure controller basing attitude error quaternion and the sliding mode variable-structure controller basing adaptive learning on RBF neural network, three learning arithmetics of RBF neural network is emphasized. The value of uncertain disturbance is studied by RBF neural network with the regulation orthogonal least square general algorithm.Finally, attitude stabilization control of the satellite and pointing precision of the payload are researched in the phase of infrared camera tracking object. The tracking law of ballistic trajectory is leaded by infrared camera of the early-warning satellite. The satellite attitude backstepping controller is designed. In order to compensate the disturbance of infrared camera, a compounding feedforward controller is proposed basing the momentum conservation.