Research and Application of PSO Algorithm for the Diaphragm Spring Optimization

被引：1

作者：

Zhang, Wei-Bo ^{[1
]}

Zhu, Guang-Yu ^{[1
]}

机构：

[1] Fuzhou Univ, Coll Mech Engn & Automat, Fuzhou 350002, Peoples R China

来源：

ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 4, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/ICNC.2008.363

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The characteristic of the diaphragm spring has great influence on the performance of the clutch, so the diaphragm spring optimization design is very important in the clutch design work. This paper deals with the multi-optimization of diaphragm spring by using Particle Swarm Optimization (PSO) algorithm. For the proposed algorithm, the mathematics model is established and optimizing objectives are chosen properly. An application example is used to test the algorithm, the result shows that the diaphragm spring have better non-linearity characteristic after optimum design with this method compared with two other design methods.

引用

页码：549 / 553

页数：5