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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.
In order to reduce the impact of external interference on towless satellites, an interference estimator based on Kalman filter is designed to feedforward the actual interference, and the optimal controller is designed based on quadratic optimal index.First, The relative orbit dynamics model of satellites and mass under the non-drag system displacement mode is given, and then the state of the towed satellites is given. Based on the estimated state, the optimal controller is designed and finally the Kalman filter Based on the estimation, the actual disturbance is compensated according to the estimated disturbance, and the control system with feedforward loop is formed, which is simulated by MATLAB / Simulink software.The simulation results show that the optimal controller with disturbance compensation can make the disturbance to the outside world Effectively suppress, thus meeting the control precision requirements of the satellite without towing.