Parameter identification of induction motor based on particle swarm optimization

被引：13
|
作者：
Picardi, C. [1 ]
Rogano, N. [1 ]
机构：
[1] Univ Calabria, Via Pietro Bucci 42C, I-87036 Arcavacata Di Rende, Italy
来源：
2006 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS, ELECTRICAL DRIVES, AUTOMATION AND MOTION, VOLS 1-3 | 2006年
关键词：
induction motors; parameter identification; genetic algorithm; optimization methods;
D O I：
10.1109/SPEEDAM.2006.1649908
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper deals with the application of the particle swarm optimization (PSO) to the parameter identification of the induction motor. A suitable model of the motor with a specific parameter vector, including electromagnetic and mechanical parameters, is given. The simulation results, presented in the paper, mainly have the purpose to compare the PSO, the genetic algorithm (GA) and a modified PSO with a function "stretching" (SPSO) in terms of the behaviours of the best fitness and the average fitness versus the number of evaluations and of the reconstruction of the output variables by means of the identified parameters.
引用
收藏
页码：968 / +
页数：2
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