Abstract:

The flight path planning for unmanned aerial vehicle (UAV) low-altitude penetration is a key technology for achieving manned and unmanned aerial vehicles cooperative combat. The technique of human intervention flight path planning for UAV low-altitude penetration against several limitations of the existing intelligent algorithms is proposed. It makes full use of the human brain to guide the solution procedures of the flight path planning, combining the niche adaptive pseudo parallel genetic algorithm (NAPPGA) based on angle codes and the intelligent decision with human intervention. A lot of simulation studies show that the solving off-line and on-line three-dimensional flight paths by this technique can meet the requirements for UAV low-altitude penetration to realize efficient implementation of threat avoidance, terrain avoidance and terrain following. This method has a certain practicality.