Study on Dynamic Balance in Main Driving Mechanism of Cold Rolling Mill Based on the Particle Swarm Optimization Algorithm

被引：1
作者：
Tang Wen-xian [1 ]
Sun Jun-jie [1 ]
Wang Bin [2 ]
机构：
[1] Jiangsu Univ Sci & Technol, Sch Mech Engn, Zhenjiang 212003, Peoples R China
[2] Jiangsu Univ Sci & Technol, Sch Elect & Informat, Zhenjiang 212003, Peoples R China
来源：
RECENT TRENDS IN MATERIALS AND MECHANICAL ENGINEERING MATERIALS, MECHATRONICS AND AUTOMATION, PTS 1-3 | 2011年 / 55-57卷
关键词：
dynamic balance; main driving mechanism; cold rolling mail; particle swarm optimization;
D O I：
10.4028/www.scientific.net/AMM.55-57.633
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
A method for comprehensive dynamic balance of mechanism based on the particle swarm optimization is presented. This paper adopted nonlinear multi-objective programming method to carry out a study on three dynamic property indexes including inertia force, reaction of kinematic pair and input torque. Optimum solution for the parameters estimation problem based on the particle swarm optimization algorithm is obtained by constructing a fitness function of the mathematical optimization model, which consists of those property indexes. The simulation results indicate that the proposed method could eliminate the reluctant evaluations and interactions remarkably, thus improves the application's performance.
引用
收藏
页码：633 / +
页数：2
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