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<p>As one key technology of UAV, the path planning is to help UAV avoid various threats and meet various constraints in the flight environment, so as to provide the best flight path for UAV. In this paper, considering the UAV path planning in the three-dimensional environment, a new improved algorithm is proposed to improve the standard particle swarm optimization algorithm. Firstly, the circle chaotic mapping is used to initialize the particles; Then the adaptive weighting method is adopted to adjust weight coefficients; Thereafter, the Lévy flight strategy based on similarity is further combined to update information of particles. The new algorithm is applied to the path planning of UAV and the simulations with MATLAB verify its significant improvements in both efficiency and accuracy.</p>

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An improved particle swarm algorithm and its application in UAV path planning

  • 期刊论文

  • 发表日期：

    2026年3月30日

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  • Lin Jiang,
  • Jiao Li,
  • Jing Tan,
  • Jinyong Ying

摘要

As one key technology of UAV, the path planning is to help UAV avoid various threats and meet various constraints in the flight environment, so as to provide the best flight path for UAV. In this paper, considering the UAV path planning in the three-dimensional environment, a new improved algorithm is proposed to improve the standard particle swarm optimization algorithm. Firstly, the circle chaotic mapping is used to initialize the particles; Then the adaptive weighting method is adopted to adjust weight coefficients; Thereafter, the Lévy flight strategy based on similarity is further combined to update information of particles. The new algorithm is applied to the path planning of UAV and the simulations with MATLAB verify its significant improvements in both efficiency and accuracy.