Scholarlink

Abstract <p>This paper discusses the using of the particle swarm optimization (PSO) algorithm to synthesize the proportional-integral-derivative (PID) guidance law in order to improve performance of a guidance system of homing missiles. The PSO algorithm is used to tune the parameters of the PID guidance law. The goal of optimal tuning is to minimize the zero-effort miss and the integral of the absolute value of the desired acceleration command. The performance of the proposed guidance law was investigated and compared with that of proportional navigation and augmented proportional navigation laws.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Synthesis of Proportional-Integral-Derivative Guidance Law for Homing Missiles Using the PSO Algorithm

  • 期刊论文

  • 发表日期：

    2025年6月1日

查看全文
  • Cao Huu Tinh,
  • Vu Xuan Thin

摘要

Abstract

This paper discusses the using of the particle swarm optimization (PSO) algorithm to synthesize the proportional-integral-derivative (PID) guidance law in order to improve performance of a guidance system of homing missiles. The PSO algorithm is used to tune the parameters of the PID guidance law. The goal of optimal tuning is to minimize the zero-effort miss and the integral of the absolute value of the desired acceleration command. The performance of the proposed guidance law was investigated and compared with that of proportional navigation and augmented proportional navigation laws.