A Stator Flux Synthesis Approach for Torque Estimation of Induction Motors Using a Modified Stator Resistance Considering the Losses Effect

被引：0

作者：

Salomon, Camila P. ^{[1
]}

Santana, Wilson C. ^{[1
]}

Borges da Silva, Luiz E. ^{[1
]}

Bonaldi, Erik L. ^{[1
]}

de Oliveira, Levy E. L. ^{[1
]}

Borges da Silva, Jonas G. ^{[1
]}

Lambert-Torres, Germano ^{[1
]}

Donadon, Antonio R. ^{[2
]}

机构：

[1] PS Solucoes, Itajuba, MG, Brazil

[2] CPEL, Fortaleza, Ceara, Brazil

来源：

2013 IEEE INTERNATIONAL ELECTRIC MACHINES & DRIVES CONFERENCE (IEMDC) | 2013年

关键词：

air-gap torque; induction motors; particle swarm optimization; stator flux synthesis; stator resistance; torque estimation;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This work proposes a methodology for induction motor torque estimation based on the stator flux model. The presented methodology just relies on line voltages, line currents and nameplate data; and it adopts a modified stator resistance, which already comprises the mechanical losses effect. This modified stator resistance is estimated through a Particle Swarm Optimization (PSO) algorithm, which is a kind of artificial intelligence applied to optimization problems. The PSO presented objective function aims to minimize the torque error at the rated operation point. Simulation and experimental results validate the effectiveness of the presented methodology.

引用

页码：1369 / 1375

页数：7