Proposition of an offline learning current modulation for torque-ripple reduction in switched reluctance motors: design and experimental evaluation

2015

A new offline current modulation using a neuro-fuzzy compensation scheme for torque-ripple reduction in switched reluctance motors is presented. The main advantage of the proposed technique is that the torque signal is unnecessary. The compensating signal is learned prior to normal operation in a self-commissioning run, capturing the necessary current shape to reduce the torque ripple. Simulation results verify first the effects of speed and then load changes on the compensator performance. Implementation of the proposed technique in a laboratory prototype shows the feasibility and accuracy of the respective offline scheme.

Autores da comunidade :

• 

  P

  Paulo José da Costa Branco

  ist13330

  Afiliações e fontes

  IST > LAETA

  Laboratório Associado de Energia, Transportes e Aeronáutica

  IST > IDMEC

  Instituto de Engenharia Mecânica

  IST > DEEC

  Departamento de Engenharia Electrotécnica e de Computadores

  De: orcid

  ID: 53196713

IEEE Transactions on Industrial Electronics

665

676

49

3

electrical-engineering-electronic-engineering-information-engineering - Engenharia Eletrotécnica, Eletrónica e Informática

eng - Inglês