摘要
对态势评估与规划系统进行集成,提出了智能化战术飞行轨迹规划系统方案.基于贝叶斯网络和模糊推理技术,实现了战场威胁级别及其相对重要性程度的综合评估.利用模型预测控制的滚动优化和在线校正原理,实现了飞机在线飞行路径规划.建立了路径规划代价函数中加权因子的智能化分配方法,进而实现了威胁评估与路径规划之间的集成,使得路径规划系统能够自适应战场态势的动态变化.最后通过仿真验证了所提出方法的有效性.
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.
出处
《控制与决策》
EI
CSCD
北大核心
2005年第2期222-225,共4页
Control and Decision
基金
国家自然科学基金
航空科学基金联合基金项目(10377001).
关键词
路径规划
态势评估
模糊逻辑
贝叶斯网络
Artificial intelligence
Computer simulation
Fighter aircraft
Fuzzy sets
Predictive control systems
