Path Planning of Anti-ship Missile based on Voronoi Diagram and Binary Tree Algorithm

被引:7
作者
Shi, Yan [1 ]
Zhang, Lihua [1 ]
Dong, Shouquan [2 ]
机构
[1] Dalian Naval Acad, Dept Mil Oceanog & Hydrog, Dalian, Peoples R China
[2] Dalian Naval Acad, Dept Missiles & Shipboard Gunnery, Dalian, Peoples R China
关键词
Anti-ship missile; Path planning; Operational area; Voronoi diagram; Binary tree; Self-adaptive;
D O I
10.14429/dsj.69.14062
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The path planning of anti-ship missile should be considered both cruising in safety and striking in quick, which is an intractable problem. In particular, it is difficult to consider the safety of each missile path in the path planning of multiple missiles. To solve this problem, the "AREA Algorithm" is presented to divide the relative relations of areas: relative security area of the threat areas and fast-attack area of target approaching. Specifically, it is a way to achieve area division through the relationship between the target and the center of the operational area. The Voronoi diagram topology network, Dijkstra algorithm and binary tree algorithm have been used in the above process as well. Finally, Simulations have verified the feasibility and obvious advantages of "AREA Algorithm" compared with the single algorithm, and the tactical meaning in path planning of multiple missiles.
引用
收藏
页码:369 / 377
页数:9
相关论文
共 14 条
[1]  
[Anonymous], 2006, IEEE C EM TECHN FACT
[2]  
Choi J. W., 2010, AIAA GUID NAV CONTR, DOI [10.2514/6.2010-8411, DOI 10.2514/6.2010-8411]
[3]  
DOYLE AB, 1994, IEEE INT CONF ROBOT, P1561, DOI 10.1109/ROBOT.1994.351366
[5]  
Fan XP, 2003, 2003 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS, INTELLIGENT SYSTEMS AND SIGNAL PROCESSING, VOLS 1 AND 2, PROCEEDINGS, P131
[6]   A new cruise missile path tracking method based on second-order smoothing [J].
Fang, Yang-Wang ;
Qiao, Dong-Dong ;
Zhang, Lei ;
Yang, Peng-Fei ;
Peng, Wei-Shi .
OPTIK, 2016, 127 (12) :4948-4953
[7]  
Guo XJ, 2008, 7TH INTERNATIONAL CONFERENCE ON SYSTEM SIMULATION AND SCIENTIFIC COMPUTING ASIA SIMULATION CONFERENCE 2008, VOLS 1-3, P940, DOI 10.1109/ASC-ICSC.2008.4675500
[8]   OARPER-MAFO algorithm for anti-ship missile path planning [J].
Liu, Gang ;
Lao, Song-yang ;
Hou, Lv-lin ;
Li, Yun ;
Tan, Dong-feng .
AEROSPACE SCIENCE AND TECHNOLOGY, 2015, 47 :135-145
[9]  
[刘钢 Liu Gang], 2013, [自动化学报, Acta Automatica Sinica], V39, P347
[10]   Multi-objective multi-robot path planning in continuous environment using an enhanced genetic algorithm [J].
Nazarahari, Milad ;
Khanmirza, Esmaeel ;
Doostie, Samira .
EXPERT SYSTEMS WITH APPLICATIONS, 2019, 115 :106-120