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Journal of Projectiles, Rockets, Missiles and Guidance >

2014 , Vol. 34 >Issue 3: 179 - 182

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2014.03.015

CORRELATION TECHNOLOGY

Path Planning for UAV Based on Immune Clone Particle Swarm Optimization

  • CHENG Ze ,
  • WANG Ergang ,
  • SUN Ying ,
  • WANG Yucui
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  • School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China

Received date: 2013-05-06

  Online published: 2025-05-30

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Abstract

In view of emergent moving threats to improve security and velocity of path planning of UAV, this paper proposed a dynamic path planning strategy of immune clone particle swarm optimization algorithm. The immune clone optimization search was added to the standard particle swarm optimization (PSO) algorithm. In addition, a variable structure optimization search theory was presented. Compared with other path planning algorithms, this strategy has improved the ability of local and global search of PSO. The simulation shows that this planning strategy meets the needs of practical application. Moreover, conclude that the improved PSO prodeces superior trajectories to other algorithms.

Key words： unmanned aerial vehicle; path planning; particle swarm optimization; immune clone; variable structure

Cite this article

CHENG Ze , WANG Ergang , SUN Ying , WANG Yucui . Path Planning for UAV Based on Immune Clone Particle Swarm Optimization[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2014 , 34(3) : 179 -182 . DOI: 10.15892/j.cnki.djzdxb.2014.03.015

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