带卡尔曼估计器的无拖曳卫星干扰补偿控制

为使外界干扰对无拖曳卫星的影响降低,设计了基于卡尔曼滤波的干扰估计器,对实际存在的干扰进行前馈补偿,并基于二次型最优指标设计了最优控制器．首先建立了无拖曳系统位移模式下卫星与质量块的相对轨道动力学模型,然后给出了无拖曳卫星状态估计的过程,并根据估计得出的状态设计了最优控制器,最后在卡尔曼滤波的基础上,根据得到的估计干扰对实际干扰进行补偿,组成带有前馈回路的控制系统,利用MATLAB／Simulink软件进行仿真．仿真结果表明,带有干扰补偿的最优控制器能对外界干扰进行有效地抑制,从而满足了无拖曳卫星的控制精度要求． 关键词: 无拖曳卫星;卡尔曼估计器;最优控制;干扰补偿

Disturbance compensation control for drag-free satellite with Kalman estimator

Abstract: In order to reduce the influence of disturbance on the drag-free satellite, a disturbance compensation control combined with optimal control of quadratic performance based on a Kalman estimation theory is presented. Firstly, the relative dynamics of the satellite and the proof mass are modeled. Secondly, the state estimation of the drag-free satellite is given and an optimal controller is established. Finally, the control system with a feedforward loop for disturbance compensation based on Kalman filter is constructed. The simulation results in MATLAB/Simulink indicate that the disturbance compensation together with optimal control is effective to reject external disturbance, the accuracy of the drag-free satellite can be satisfied.