测量噪声下的高超声速飞行器组合观测鲁棒控制

In response to the poor performance and even instability of the control system caused by existed external disturbances and measurement noises, a robust control strategy based on state observation is proposed. Considering the unstable controller caused by using inaccurate system states under disturbances and noises, the special combination of extended state observer (ESO) and adaptive Kalman filter (AKF) is proposed to accurately estimate the system states which are contaminated by disturbances and noises that with unknown statistical properties. The AKF is used to offset noises and to provide the ESO with noiseless state estimation, while the ESO continuously provides the estimation of wind disturbances for the AKF. To achieve good tracking performance, the linear quadratic Gaussian control using the states estimation of observer is designed for HFV. Simulations are implemented to verify that robust tracking is obtained under the proposed method.