A Particle Swarm Optimization Algorithm for Rotational Torque Fitting of Three-phase Asynchronous Motor

被引：0

作者：

Qu Ye-qi ^{[1
]}

Gao De-xin ^{[1
]}

Zhang Jia-wei ^{[1
]}

机构：

[1] Qingdao Univ Sci & Technol, Coll Automat & Elect Engineer, 99 Songling, Qingdao 266042, Shandong, Peoples R China

来源：

2017 CHINESE AUTOMATION CONGRESS (CAC) | 2017年

基金：

中国国家自然科学基金;

关键词：

three - phase asynchronous motor; speed - torque curve; particle swarm optimization; Arithmetic mean filtering;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to solve the rotational torque curve fitting problem of three-phase? asynchronous motor, an on-line fitting algorithm based on particle swarm optimization is designed Firstly, the rotational torque model of three-phase asynchronous motor is established by using the Taylor-polynomial model. Secondly, through the particle swarm optimization algorithm and the polynomial evaluation function, the order of optimal fitting is solved and the online fitting is realized. Finally, the algorithm is applied actually in motor industry through Visual Studio platform, and shows that it is effective.

引用

页码：2306 / 2311

页数：6

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