Methods for intelligent tactical flight path planning

Intelligent tactical flight path planning system is proposed by integrating situation assessment with path planning. The algorithms of assessment for threat level and relative importance are established based on Bayesian networks and fuzzy logic. The flight path planning is implemented using the model predictive control depending on its receding horizon optimization and correction on-line. The intelligent assignment of weighting factors in cost function of path planning is developed based on fuzzy logic, which integrated situation assessment with path planning. The proposed intelligent tactical flight path planning system can adapt the dynamic variable situations in battlefield. The simulation results show the good effectiveness.