Intelligent Path Planning Approach to Flight

Abstract

The transfer of aircraft on the flight deck of carrier exerts a significant impact on the sortie and recovery capacity of aircraft fleet, and the safety of the transfer path is particularly important. In this paper, combining artificial experience and intelligent search, a path planning method for carrier aircraft on deck is proposed considering that the existing full-automatic methods can not deal with the problem in complex environment. Firstly, base models for transfer of aircraft which contain the flight deck boundary model, convex hull model for aircraft, Dubin and Reeds-shepp path model, and collision detection model for path are established. Secondly, the procedure of the deck path planning method for aircraft that combines the artificial expertise in setting intermediate path nodes and a local optimization mechanism based on the modified Artificial Bee Colony (MABC) algorithm is illustrated. Finally, the feasibility of the model and validity of the algorithm are verified by simulation under three typical transfer missions.