Kalman filter based optimal control approach for attitude control of a missile

The paper represents the Kalman Filter based optimal control approach to control the angle of attack of a missile attitude. The Kalman filter is used here to estimate the state of the system. A state feedback Linear Quadratic Gaussian controller which takes the filtered estimated states has been implemented into the system to control the angle of attack of the missile. The proposed method of controller takes care of the unwanted noise present in the system and ensures guaranteed convergence of the tracking error to zero as well. The performance of the proposed Kalman filter based controller has been evaluated with the presence of noise and disturbances in the system. Simulation results have been carried out to show the effectiveness of the controller.