Uncertain Autopilot Lag-Compensated Intercept Guidance for integrated Guidance and Autopilot

摘要

The performance of intercept guidance systems are affected by some factors such as observer noise, disturbance,uncertain modeled dynamics and so on. System lag coming from dynamics of autopilot, actuators, filters or disturbance observers, and so on, is one of such important factors. Anothe major factor is a disturbance mostly caused by a target's unknown but bounded maneuvers. We treat uncertain missile dynamics and unknown target maneuvers including such uncertain autopilot lag by using an extended state high-gain-observer-based estimator and a novel filter. The former estimate an uncertainty and disturbance term treated as an unknown (extended) state that affects the line-of-sight rate dynamics, and the latter estimates an equivalent time constant for the uncertain autopilot lag. The proposed novel filter is driven only when the difference between the filter's estimated state and the commanded value exist. In other words, the novel filter makes the system observable as long as the difference exists while the linearized system from this original system is usually unobservable. The potential of the proposed disturbance-compensated intercept guidance is demonstrated with some representative simulations.