Research on Trajectory Tracking Guidance Method Based on Particle Swarm Optimization

Zhihao Miao, Zhihong Deng, Kai Shen, Xinyu Liang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The projectile launched by large caliber artillery has parabolic flight characteristics, and its trajectory contains rich coordinate information and attitude information, which is an important reference information source. Aiming at the situation that the pulse engine is located at the tail of the projectile, the trajectory tracking guidance method is studied. On the basis of establishing the dynamics and kinematics model of the projectile, this paper proposes a guidance method of advance correction based on the trajectory perspective, and optimizes the pulse ignition time and advance correction time based on the particle swarm optimization algorithm with decreasing inertia weight, and designs the optimization model. The simulation results show that the proposed algorithm can effectively reduce the error between the landing point and the target point, and the trajectory tracking effect is good.

Original languageEnglish
Title of host publication2023 42nd Chinese Control Conference, CCC 2023
PublisherIEEE Computer Society
Pages3532-3537
Number of pages6
ISBN (Electronic)9789887581543
DOIs
Publication statusPublished - 2023
Event42nd Chinese Control Conference, CCC 2023 - Tianjin, China
Duration: 24 Jul 202326 Jul 2023

Publication series

NameChinese Control Conference, CCC
Volume2023-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference42nd Chinese Control Conference, CCC 2023
Country/TerritoryChina
CityTianjin
Period24/07/2326/07/23

Keywords

  • Advance correction
  • Guided projectile
  • Particle swarm optimization
  • Pulse engine
  • Trajectory tracking

Fingerprint

Dive into the research topics of 'Research on Trajectory Tracking Guidance Method Based on Particle Swarm Optimization'. Together they form a unique fingerprint.

Cite this