Intelligent calculation of reachable domain under No-fly zone influence based on tangent flight trajectories

Abstract

Rapid and accurate calculation of reachable domain, especially under the no-fly zone influence, is important in the reentry mission of reentry vehicles. The basic problem is the complex boundary of the reachable domain. Aiming to solve this problem, the intelligent reachable domain calculation approach with unfixed no-fly zone location based on tangent flight trajectory is presented. First, the algorithm of reachable domain calculation under no-fly zone influence is proposed. After finding the tangent flight trajectories, the tangency point states are determined and the subdomains are generated. To obtain a closed domain, the new algorithm for limiting boundary calculation is given. The no-fly zones are classified and the solution ideas of different categories are given separately to ensure that the algorithm can apply to different kinds of no-fly zones. Back Propagation neural networks are introduced and trained for different types of no-fly zones to solve reachable domains rapidly. Finally, the simulations of the proposed algorithm are presented, including each category of a single no-fly zone and different categories of multiple no-fly zones. Comparisons are also made between the general solution method and the method using neural networks. The results illustrate the effectiveness of the proposed method and the calculation time reduced by a factor of 103 through neural networks.