面向禁飞区约束的再入滑翔飞行器快速轨迹规划
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摘要
针对高超声速滑翔飞行器轨迹快速规划问题,为实现对于禁飞区的规避,提出了一种基于改进稀疏A~*算法的轨迹规划方法。该方法基于最小转弯半径约束进行节点拓展,减小搜索空间规模,有效提高了搜索效率,能够成功完成再入轨迹规划;同时,基于飞行器动力学模型计算各节点最小转弯半径及速度,克服了传统A*算法几何规划的缺点,提高了规划结果的合理性。仿真结果表明,所提出的方法规划效率高,实用性强。
To research the rapid trajectory planning for hypersonic glide vehicle satisfying no-fly zone constraints,a new method based on improved spares A~* algorithm is proposed. The minimum turning radius constraint is introduced into the searching procedure of spares A~* algorithm through deduction.Then,the total number of expanded nodes is reduced and the efficiency of planning is promoted. Furthermore,the minimum turning radius constraint and velocity of nodes are solved based on the dynamic model. In this way,the weakness of the traditional A~* algorithm can be overcome,and the validity of the planned trajectory can be promoted. The applicability and efficiency are demonstrated through the analysis of numerical simulation results.
To research the rapid trajectory planning for hypersonic glide vehicle satisfying no-fly zone constraints,a new method based on improved spares A~* algorithm is proposed. The minimum turning radius constraint is introduced into the searching procedure of spares A~* algorithm through deduction.Then,the total number of expanded nodes is reduced and the efficiency of planning is promoted. Furthermore,the minimum turning radius constraint and velocity of nodes are solved based on the dynamic model. In this way,the weakness of the traditional A~* algorithm can be overcome,and the validity of the planned trajectory can be promoted. The applicability and efficiency are demonstrated through the analysis of numerical simulation results.
引文
[1]George R.The common aero vehicle-space delivery system of the future[C]//AIAA Space Technology Conference&Exposition,Albuquerque,NM,1999.
[2]Xie Y,Liu L,Tang G,et al.A reentry trajectory planning approach satisfying waypoint and no-fly zone constraints[C]//International Conference on Recent Advances in Space Technologies,IEEE,2011.
[3]Jorris T R,Cobb R G.Multiple method 2-D trajectory optimization satisfying waypoints and no-fly zone constraints[J].Journal of Guidance Control&Dynamics,2008,32(2):541-553.
[4]Jorris T R,Cobb R G.Three-dimensional trajectory optimization satisfying waypoint and no-fly zone constraints[J].Journal of Guidance,Control,and Dynamics,2009,32(2):551-572.
[5]张科南.基于坡度率的再入飞行器在线轨迹规划[J].战术导弹技术,2015,(5):24-29.
[6]Szczerba R J,Galkowski P,Glicktein I S,et al.Robust algorithm for real-time route planning[C].IEEE Transactions on Aerospace and Electronic Systems,2000,36(3):869-878.
[7]黄雄,黄攀峰,闫杰,等.基于A*算法的高超声速飞行器航迹规划方法[J].计算机仿真,2009,26(9):62-65.
[8]卢青,周军,呼卫军.基于改进A*算法的滑翔飞行器轨迹规划[J].系统工程与电子技术,2016,38(12):2758-2763.
[9]谢晓方,孙涛,欧阳中辉.反舰导弹航路规划技术[M].北京:国防工业出版社,2010:114-115.
[2]Xie Y,Liu L,Tang G,et al.A reentry trajectory planning approach satisfying waypoint and no-fly zone constraints[C]//International Conference on Recent Advances in Space Technologies,IEEE,2011.
[3]Jorris T R,Cobb R G.Multiple method 2-D trajectory optimization satisfying waypoints and no-fly zone constraints[J].Journal of Guidance Control&Dynamics,2008,32(2):541-553.
[4]Jorris T R,Cobb R G.Three-dimensional trajectory optimization satisfying waypoint and no-fly zone constraints[J].Journal of Guidance,Control,and Dynamics,2009,32(2):551-572.
[5]张科南.基于坡度率的再入飞行器在线轨迹规划[J].战术导弹技术,2015,(5):24-29.
[6]Szczerba R J,Galkowski P,Glicktein I S,et al.Robust algorithm for real-time route planning[C].IEEE Transactions on Aerospace and Electronic Systems,2000,36(3):869-878.
[7]黄雄,黄攀峰,闫杰,等.基于A*算法的高超声速飞行器航迹规划方法[J].计算机仿真,2009,26(9):62-65.
[8]卢青,周军,呼卫军.基于改进A*算法的滑翔飞行器轨迹规划[J].系统工程与电子技术,2016,38(12):2758-2763.
[9]谢晓方,孙涛,欧阳中辉.反舰导弹航路规划技术[M].北京:国防工业出版社,2010:114-115.