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基于RHC的无人机自主轨迹优化算法研究
引用本文:张航,王琦.基于RHC的无人机自主轨迹优化算法研究[J].航空计算技术,2007,37(4):67-70.
作者姓名:张航  王琦
作者单位:飞行自动控制研究所,陕西,西安,710065
摘    要:介绍了一种无人机长航程飞行的轨迹优化的新方法.在禁飞区、最大航速和曲率等约束条件下,在滚动时域控制RHC(Receding Hoirzon Control)框架中使用混整线性规划MILP(Mix-Integer Linear Programming)来设计无人机最短时间的航迹,其中引入罚函数来说明从航迹端点到达目标点的估计时间.仿真结果表明,使用这种方法,无人机可以顺利穿过障碍物区域,可以处理确定时间窗口的控制FHC(Fixed Horizon Controller)难于处理的长航程复杂优化问题.

关 键 词:轨迹优化  RHC  MILP  FHC  无人机  轨迹优化  算法研究  Receding  Horizon  Control  Optimization  Algorithm  Trajectory  优化问题  Fixed  Controller  控制  时间窗口  处理  区域  障碍  仿真结果  估计  目标点  端点  罚函数  航迹
文章编号:1671-654X(2007)04-0067-04
修稿时间:2007年3月29日

Study on Trajectory Optimization Algorithm for UAV Using Receding Horizon Control
ZHANG Hang,WANG Qi.Study on Trajectory Optimization Algorithm for UAV Using Receding Horizon Control[J].Aeronautical Computer Technique,2007,37(4):67-70.
Authors:ZHANG Hang  WANG Qi
Abstract:A new method is presented for the UAV's large trajectory optimization.MILP(Mix-Integer Linear Programming) has been applied within a RHC(Receding Horizon Control) framework to plan the UAV's trajectory to a goal,constrained by no-fly zones and the UAV's maximum speed and turning rate.The terminal penalty is used to accounts for estimation of the time from this point to the goal.The emulator's result shows that,using this method,the UAV can triumphantly get through the areas with obstacles,and to work consistently on large trajectory optimization problems that are intractable for the FHC(Fixed Horizon Controller).
Keywords:trajectory optimization  receding horizon control(RHC)  mix-integer linear programming(MILP)  fixed horizon controller(FHC)
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