微型机与应用2017，Vol.36Issue(10)：18-22,5.DOI:10.19358/j.issn.1674-7720.2017.10.006
粒子群算法研究及其在流体矢量装置控制上的应用
Research on particle swarm optimization algorithm and its application in fluid vector control
王鑫 1陈欣 1李继广1
作者信息
- 1. 南京航空航天大学 自动化学院,江苏 南京 211106
- 折叠
摘要
Abstract
Particle swarm optimization algorithm has the characteristics of low dependence on the system, and it dosn't require the optimizated functions to be differentiable, derivative and continuous.In this paper, the condition local convergence and global convergence are proved by using the method of applying theory derivation, and the local convergence rate and global convergence ability of the algorithm including are analyzed.The main contribution of this paper include, firstly, the uniform distribution of the initial position of the particle can improve the global convergence ability of the algorithm.Secondly, maximum value determines the local convergence rate of the algorithm, but the function does not decrease monotonically with the weight coefficient.Finally, the proposed PSO is used in the maneuver motion of unmanned aerial vehicle and is proved to be an effective method.关键词
粒子群算法/收敛性/收敛速度/流体矢量控制/补偿器Key words
swarm optimization algorithm/convergence rate/fluid vector control/compensator分类
航空航天引用本文复制引用
王鑫,陈欣,李继广..粒子群算法研究及其在流体矢量装置控制上的应用[J].微型机与应用,2017,36(10):18-22,5.
