COMPARISON OF FEA FIELD MODELS COMBINED WITH ANALYTICAL METHOD TO DETERMINE THE PERFORMANCE CHARACTERISTICS OF HIGH EFFICIENCY INDUCTION MOTORS

Victor Aguiar

Federal University of Ceara

Bachelor in Electrical Engineering from the Federal University of Ceará (2006), Master's degree in electrical engineering from the Federal University of Ceará (2008) and graduate student (Doctor's degreee) in Electrical Engineering from the Federal University of Ceará (since 2013). He has experience in Electrical Engineering with emphasis on Electrical Machines acting on the following topics: induction motors (diagnosis, analysis and design), energy efficiency and industrial automation.

Tobias Rafael Fernandes Neto

Federal University of Ceara

Bachelor in Electrical Engineering from the University of Fortaleza (2004), Master's degree in electrical engineering from the Federal University of Ceará (2007) and PhD in Electrical Engineering from the Technische Universität Darmstadt (2012). He has experience in Electrical Engineering with emphasis on Electrical Machines and Power Devices, acting on the following topics: electrical machines, power electronics and industrial automation.

Kleymilson do Nascimento Souza

Federal University of Ceara

Technologist in Industrial Automation / Mechatronics from the Technological Education of Ceará (2006), Master's degree in electrical engineering from the Federal University of Ceará (2012) and student (Doctor's degree) in Electrical Engineering from the Federal University of Ceará (since 2013). The main areas of research on Intelligent Systems, Electrical Machines and Applied Programming Machines Projects and Actuator Spherical.

Abstract

This paper proposes a comparison among FEA field models combined with analytical model to predict the NEMA/IEC performance indicators with better accuracy. Such indicators are locked-rotor current, efficiency, breakdown torque... [ view full abstract ]

Authors

  1. Victor Aguiar (Federal University of Ceara)
  2. Ricardo Pontes (Federal University of Ceara)
  3. Tobias Rafael Fernandes Neto (Federal University of Ceara)
  4. Kleymilson do Nascimento Souza (Federal University of Ceara)

Topic Areas

Energy Efficiency , Monitoring and Fault Detection , Industrial Applications

Session

OP-6D » Motor and Magnetics Design (09:50 - Wednesday, 2nd December, Topázio)