摘要
航路规划是空中加油的重要课题,通过对空中加油问题进行系统性分析,针对受油机往返各加一次油的情况,建立了空中加油航路规划的数学模型.该数学模型考虑了任务总耗油问题,即加油机和受油机的耗油总量;同时还考虑了将受油机前往执行任务的飞行距离列入优化对象(不含返程).并提出了基于遗传算法求解空中加油航路的规划模型.运用所提出的方法,实际计算表明,所建模型具有良好的适应性,能够适合不同的作战环境和不同作战要求;采用遗传优化算法研究空中加油问题,优化效率高、具有全局性,并易于计算机实现;所得的加油方案是合理的.
Journey planning is a core of air refueling. Under the systematic analysis of air refueling problem, a journey-planning model is constructed for the deploying aircraft refueling twice in round-trip. This model considers the total fuel consumption and the flight distance of the deploying aircraft, excluding return. Using genetic algorithm（GA） and its programs, actual calculations show that the model has good adaptability to suit different operational environments and different operational requirements. The GA is global, highly efficient for air refueling planning and easily realized in computers. The achieved refueling scheme is reasonable.
出处
《复旦学报（自然科学版）》
CAS
CSCD
北大核心
2014年第1期141-146,共6页
Journal of Fudan University：Natural Science
关键词
空中加油
航路规划
遗传算法
air fueling
journey programming
genetic algorithm（GA）
