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基于粒子群算法的惯性水平振动给料机的优化

王苗 严伟博 滕维淑

山东煤炭科技Issue(12):179-181,3.
山东煤炭科技Issue(12):179-181,3.DOI:10.3969/j.issn.1005-2801.2016.12.077

基于粒子群算法的惯性水平振动给料机的优化

Optimization Design of Inertial Feeder with Horizontal Vibration by Particle Swarm Algorithm

王苗 1严伟博 1滕维淑1

作者信息

  • 1. 西安建筑科技大学机电工程学院,陕西西安 710055
  • 折叠

摘要

Abstract

The basic concept and Implementation process of PSO are introduced in the paper. Through kinematic analysis of Inertial Feeder with Horizontal Vibration, in the maximum average speed of materials as the objective function, establish its optimization mathematical model. Program optimization of PSO in MATLAB, and get more superior result. The optimization algorithm PSO has been ifnished optimization task well, and provides new methods and ideas for the structural design of vibration machines.

关键词

惯性水平振动给料机/粒子群优化算法/MATLAB

Key words

inertial Feeder with Horizontal Vibration/PSO/MATLAB

分类

机械制造

引用本文复制引用

王苗,严伟博,滕维淑..基于粒子群算法的惯性水平振动给料机的优化[J].山东煤炭科技,2016,(12):179-181,3.

山东煤炭科技

1005-2801

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