基于卡尔曼滤波的导弹姿态最优控制法

Kalman Filter Based Optimal Control Approach for Attitude Control of A Missile

使用卡尔曼滤波器来估计系统过程状态,噪声测量值馈通至线性二次高斯控制器以实现导弹攻角的控制。该方法的控制器负责处理系统中不需要的噪声,确保跟踪误差收敛为零。通过仿真证实了控制器的有效性。

The Kalman filter is used here to estimate the state of system.A state feedback linear quadratic Gaussian controller which receives the filtered estimation states is used to control the angle of attack of a missile.The controller is applied to the treatment of unwanted noise in the system,to ensure the tracking error is zero after algorithm convergence.Simulation analysis has been carried out to show the effectiveness of the controller.