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  • 标题:An Improved Method of Particle Swarm Optimization for Path Planning of Mobile Robot
  • 本地全文:下载
  • 作者:Xun Li ; Dandan Wu ; Jingjing He
  • 期刊名称:Journal of Control Science and Engineering
  • 印刷版ISSN:1687-5249
  • 电子版ISSN:1687-5257
  • 出版年度:2020
  • 卷号:2020
  • 页码:1-12
  • DOI:10.1155/2020/3857894
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    The existing particle swarm optimization (PSO) algorithm has the disadvantages of application limitations and slow convergence speed when solving the problem of mobile robot path planning. This paper proposes an improved PSO integration scheme based on improved details, which integrates uniform distribution, exponential attenuation inertia weight, cubic spline interpolation function, and learning factor of enhanced control. Compared with other standard functions, our improved PSO (IPSO) can achieve better optimal results with less number of iteration steps than the different four path planning algorithms developed in the existing literature. IPSO makes the optimal path length with less than 20 iteration steps and reduces the path length and simulation time by 2.8% and 1.1 seconds, respectively.

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