Predictive control of aircraft control systems for maneuverable target

Abstract

A new aircraft guidance law utilizing predictive control algorithm is proposed. Compared with extended proportional navigation guidance law, this guidance law is designed specifically for using against a maneuverable target. It can track the target maneuver effectively. Uncertainty in the predicted target's future maneuvering is handled by constructing a stochastic predictive cost function and utilizing the stochastic minimum principle to deduce a predictive control algorithm. The guidance law is established by adopting the continuous approximation method into the continuous predictive control algorithm. The simulation results demonstrate that the stochastic predictive guidance law has the ability of trajectory prediction. Compared with the PID proportional navigation guidance law, the stochastic predictive guidance law has smaller overload and can intercept the maneuvering target more effectively.