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Research on Real-Time Flight Path Planning of UAV Based on Grey Prediction

Unmanned aerial vehicle (UAV) path planning under complex environment, especially under the threat of moving targets is a research difficulty in the field in those years. Aiming at above problem, a method based on MGM (1, n) model for predicting threat of moving targets three-dimensional coordinate of real-time path planning is putted forward. The method is to build three-dimensional search space base on UAV mobility firstly, and organize optimization function by considering the fuel consumption, threat of moving targets location and other variable multi-objective, then get the best track points by the improved chaos fish swarm algorithm to avoid the hit of dynamic targets. The experimental result shows the path planning method we studied can avoid the randomly moving target effectively on flying space, verified the feasibility and effectiveness of the proposed method.