An autonomous maneuver decision method using receding horizon optimization scheme

As a key technology, autonomous maneuver decision for unmanned combat air vehicle (UCAV) is a hot topic. In order to better solve the maneuver decision problem, the maneuver decision model is considered as a rolling horizon control problem. In the rolling horizon optimization scheme, a novel evolutionary algorithm is proposed to solve maneuver decision problem per step. Meanwhile, four factor membership functions are designed to build objective advantage function. The simulation results for three typical scenarios illustrate the efficiency and robustness of autonomous maneuver decision method proposed.