多UCAV协同目标分配算法研究

Journal of Systems Engineering and Electronics ›› 2010, Vol. 32 ›› Issue (1): 104-108.

多UCAV协同目标分配算法研究

叶文1，朱爱红2, 潘长鹏2，范洪达1

(1. 海军航空工程学院兵器科学与技术系，山东烟台264001; 2. 海军航空工程学院训练部, 山东烟台 264001)

出版日期:2010-01-23 发布日期:2010-01-03

Cooperation mission assignment algorithm for multi-UCAV

YE Wen1, ZHU Ai-hong2, PAN Chang-peng2, FAN Hong-da1

(1. Dept. of Ordnance Science and Technology, Naval Aeronautical and Astronautical Univ., Yantai 264001, China; 2. Dept. of Training, Naval Aeronautical and Astronautical Univ., Yantai 264001, China)

Online:2010-01-23 Published:2010-01-03

摘要/Abstract

摘要：

针对多无人作战飞机(unmanned combat aerial vehicle, UCAV)协同目标分配问题，提出了一种基于离散粒子群算法的多UCAV协同目标分配方法。根据多UCAV协同目标分配问题的特点，建立了粒子与实际问题间的映射，设计了新的粒子群位置和速度更新公式，并且对标准粒子群算法作了改进。充分利用粒子群优化算法的全局搜索能力，有效地解决多约束条件下多UCAV协同目标分配问题。仿真结果表明，离散粒子群算法能够稳定快速地找到较优分配方案，并且算法简单、灵活。

Abstract:

A discrete particle swarm optimization (DPSO) algorithm is put forward for multi-UCAV (unmanned combat aerial vehicle)cooperation mission assignment problems. In the algorithm, a new code for particles and new update strategy for the position and speed of particles are applied so as to make the DPSO algorithm more suitable for multi-UCAV cooperation mission assignment problems. Aiming at the shortcoming of prematurity and poorness resulted from pure PSO, the DPSO algorithm takes full advantage of the complementary strengths of the particle swarm optimization algorithm, and the algorithm could solve multi-UCAV cooperation mission assignment effectively. The simulation results show that the DPSO algorithm could find the better assignment scheme fleetly and is simple and flexible.

叶文1，朱爱红2, 潘长鹏2，范洪达1. 多UCAV协同目标分配算法研究[J]. Journal of Systems Engineering and Electronics, 2010, 32(1): 104-108.

YE Wen1, ZHU Ai-hong2, PAN Chang-peng2, FAN Hong-da1. Cooperation mission assignment algorithm for multi-UCAV[J]. Journal of Systems Engineering and Electronics, 2010, 32(1): 104-108.