Research on Identification of Induction Motor Parameters ased on Nameplate Data and PSO

Authors

Xingwu Wang, 1. Department of Automation North China Electric Power University, Baoding 071003, China;;2. Baoding Simosimu Technology Co. , Ltd. , Baoding 071051, China;
Bingshu Wang, 1. Department of Automation North China Electric Power University, Baoding 071003, China;;2. Baoding Simosimu Technology Co. , Ltd. , Baoding 071051, China;
Zhaoyan Zhang, 1. Department of Automation North China Electric Power University, Baoding 071003, China;;2. Baoding Simosimu Technology Co. , Ltd. , Baoding 071051, China;
Zhibin Liu, 1. Department of Automation North China Electric Power University, Baoding 071003, China;;

Abstract

Abstract: A new method was proposed based on motor nameplate and particle swarm optimization (PSO) for identification of motor equivalent circuit parameters. The method effectively solved to present problems of motor equivalent circuit parameters identification method. An accurate motor equivalent circuit was built by introducing an equivalent stray-loss resistance, mechanical loss, and slip loss of ring brushes for wound motor. An identification optimization model of equivalent circuit was established based on motor nameplate parameters and motor equivalent circuit’s calculating parameters. Solving optimization model with PSO was achieved a higher probability optimization goals. The motor electrical parameters were calculatd at different speeds with the equivalent circuit identified parameters and compared with the measured values. Experimental results show that proposed parameter identification method based on motor nameplate parameters and combining PSO optimization method is effective.

Recommended Citation

Wang, Xingwu; Wang, Bingshu; Zhang, Zhaoyan; and Liu, Zhibin (2020) "Research on Identification of Induction Motor Parameters ased on Nameplate Data and PSO," Journal of System Simulation: Vol. 28: Iss. 6, Article 31.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss6/31

First Page

1469

Revised Date

2014-12-15

DOI Link

https://doi.org/

Last Page

1475

CLC

TM85

Recommended Citation

Wang Xingwu, Wang Bingshu, Zhang Zhaoyan, Liu Zhibin. Research on Identification of Induction Motor Parameters ased on Nameplate Data and PSO[J]. Journal of System Simulation, 2016, 28(6): 1469-1475.