MISSILE GUIDANCE ALGORITHM DESIGN USING PARTICLE SWARM OPTIMIZATION

被引：13

作者：

Kung, Chien-Chun ^{[1
]}

Chen, Kuei-Yi ^{[2
]}

机构：

[1] Natl Def Univ, Chung Cheng Inst Technol, Dept Mechatron Energy & Aerosp Engn, Tao Yuan, Taoyuan County, Taiwan

[2] Natl Def Univ, Chung Cheng Inst Technol, Sch Def Sci, Tao Yuan, Taoyuan County, Taiwan

来源：

TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING | 2013年 / 37卷 / 03期

关键词：

missile guidance law; PSO algorithm; pursuit-evasion;

D O I：

10.1139/tcsme-2013-0083

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This paper presents a PSO guidance (PSOG) algorithm design for the pursuit-evasion optimization problem. The initialized particles are randomly et within the guidance command solution space and the relative distance is taken as the objective function. As the PSOG algorithm proceeds, the iteration will execute until the global optimum is reached. Two pursuit-evasion scenarios show that the PSOG algorithm has satisfied performance in execution time, terminal miss distance, time of interception, final stage turning rate and robust pursuit capability.

引用

页码：971 / 979

页数：9

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