| 采用威胁启发粒子群算法的无人机航路规划 |
| |
| 引用本文： | 李猛,王道波,柏婷婷,盛守照.采用威胁启发粒子群算法的无人机航路规划[J].电光与控制,2011,18(12):1-4,43. |
| |
| 作者姓名： | 李猛 王道波 柏婷婷 盛守照 |
| |
| 作者单位： | 1. 南京航空航天大学自动化学院,南京,210016
2. 南京硕航机电有限公司,南京,211102 |
| |
| 基金项目： | 航空科学基金(20101352015) |
| |
| 摘 要： | 针对复杂地形和威胁环境下的无人机航路规划问题,对粒子群算法进行了改进,提出了融入威胁启发机制的改进粒子群算法.充分利用无人机在任务区域中已知的威胁信息,将其作为威胁启发项,构成粒子群速度更新公式的一部分,有效丰富粒子群算法的搜索行为,增强粒子在搜索过程中的针对性和指导性.使用最小威胁曲面方法,降低粒子编码的维数,并采用...
|
| 关 键 词： | 无人机 航路规划 粒子群算法 启发信息 |
Route Planning Based on Particle Swarm Optimization with Threat Heuristic |
| |
| LI Meng,WANG Daobo,BAI Tingting,SHENG Shouzhao.Route Planning Based on Particle Swarm Optimization with Threat Heuristic[J].Electronics Optics & Control,2011,18(12):1-4,43. |
| |
| Authors: | LI Meng WANG Daobo BAI Tingting SHENG Shouzhao |
| |
| Affiliation: | LI Meng1,WANG Daobo1,BAI Tingting2,SHENG Shouzhao1(1.College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China,2.Nanjing Stro-Flight Company,Nanjing 211102,China) |
| |
| Abstract: | In order to solve the problem of UAV's route planning under the environment with complex terrain and threats,an improved Particle Swarm Optimization(PSO) was proposed,in which the threat heuristic mechanism was integrated.The new algorithm made full use of the known threat information in mission area and took it as the threat heuristic item for forming the particles' velocity updating formula.The threat heuristic information could enhance the guiding movement of particles in mission area,enrich search behav... |
| |
| Keywords: | Unmanned Aerial Vehicle(UAV) route planning particle swarm optimization heuristic information |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
