Flight vehicle midcourse trajectory fast planning for low-speed target

被引:0
|
作者
Xiong Z. [1 ]
Liu Y. [1 ]
机构
[1] School of Aerospace Engineering, Beijing Institute of Technology, Beijing
关键词
convex optimization; flight vehicle; moving target; receding planning framework; trajectory planning;
D O I
10.12305/j.issn.1001-506X.2024.07.24
中图分类号
学科分类号
摘要
A midcourse flight trajectory planning algorithm based on receding sequential convex programming algorithm is proposed for a long-range flight vehicle to strike low-speed ship target. Using a receding planning framework, the trajectory update problem is transformed into a trajectory planning subproblem after initial and terminal position updates. Then, a multi-constraint convex optimization problem is constructed and solved using sequential convex programming algorithm. A receding planning cycle contraction strategy is designed to reduce the number of trajectory updates. An improved reference trajectory generation algorithm is designed and a trust region adaptive shrinkage strategy is used to effectively improve the computational speed while ensuring the planning effect. Simulation results show that the algorithm has fine planning results and can meet the online planning requirements. The computational speed is faster compared with usual receding sequential convex programming trajectory planning algorithms. © 2024 Chinese Institute of Electronics. All rights reserved.
引用
收藏
页码:2424 / 2436
页数:12
相关论文
共 35 条
  • [1] DRAKE D, KOZIOL S, CHABOT E., Mobile robot path planning with a moving goal, IEEE Access, 6, pp. 12800-12814, (2018)
  • [2] PHUNG M D, HA Q P., Motion-encoded particle swarm optimization for moving target search using UAVs, Applied Soft Computing, 97, (2020)
  • [3] TRHIARMINTO H H, ADJI T B, SETIAWAN N A., Dynamic UAV path planning for moving target intercept in 3D, Proc. of the IEEE 2nd International Conference on Instrumentation Control and Automation, pp. 157-161, (2011)
  • [4] MEYER Y, ISAIAH P, SHIMA T., On Dubins paths to intercept a moving target, Automatica, 53, pp. 256-263, (2015)
  • [5] BEUL M, BEHNKE S., Fast full state trajectory generation for multirotors, Proc. of the IEEE International Conference on Unmanned Aircraft Systems, pp. 408-416, (2017)
  • [6] ZHENG Y, CHEN Z, SHAO X M, Et al., Time-optimal guidance for intercepting moving targets with impact-angle constraints, Chinese Journal of Aeronautics, 35, 7, pp. 157-167, (2022)
  • [7] LIU Y, WANG Y D, DONG L., USV target interception control with reinforcement learning and motion prediction method, Proc. of the IEEE 37th Youth Academic Annual Conference of Chinese Association of Automation, pp. 1050-1054, (2022)
  • [8] WANG Z, LIU L, LONG T, Et al., Trajectory planning for multi-UAVs using penalty sequential convex programming, Acta Aeronautica et Astronautica Sinica, 37, 10, pp. 3149-3158, (2016)
  • [9] MENG B B., UAV path planning based on bidirectional sparse A* search algorithm, Proc. of the IEEE International Conference on Intelligent Computation Technology and Automation, pp. 1106-1109, (2010)
  • [10] ZHEN Z Y, CHEN Y, WEN L D, Et al., An intelligent cooperative mission planning scheme of UAV swarm in uncertain dynamic environment [J], Aerospace Science and Technology, 100, (2020)