摘要
针对飞机从停机位到起飞位的调运航路规划问题,为了规划最优航路,首先采用栅格法建立了飞行场地和飞机的简化模型,根据飞行场地的飞机布列位置,应用蚁群优化算法,规划出所有飞机从停机位到不同的起飞位的调运航路;针对飞机运动时的转角约束条件,利用B样条对规划出的调运航路进行平滑处理。经仿真生成了安全、可行的最短调运航路。仿真结果表明,将蚁群算法和B样条相结合应用于飞机调运航路规划,可以满足飞机运动的约束条件且规划出的结果优化。
This paper discusses a take -off path planning algorithm for airplanes scheduling in a limited region. The algorithm aims at solving the shortest take - off path planning problem for airplanes. It adopts the grid method to set up the simplified models of landing field and aircraft. And according to the arrangement of the aircrafts, it adopts the ant colony optimization algorithm to get the different take - off positions. Contrapose the restriction of shortest moving corner of transporting aircrafts B - spline is used to smooth the planned paths and make the paths shortest and safe. The simulation results show that the planned paths are optimized and can satisfy the moving restriction of air- crafts by using ant colony optimization algorithm and B - spline method.
出处
《计算机仿真》
CSCD
北大核心
2010年第4期17-20,66,共5页
Computer Simulation
基金
黑龙江省博士后科研启动基金(323630221)
哈尔滨市科技创新人才研究专项基金(159040220003)
关键词
飞机
转角约束
调运航路规划
蚁群优化
Aircraft
Comer restriction
Path planning
Ant colony optimization
