Constrained online efficiency optimization to guarantee load support in motor drives

Ali M. Bazzi, Philip T. Krein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Online efficiency optimization is an attractive option that can be easily integrated into motor drive software. Most of these online efficiency optimization methods reduce the flux in the machine, but flux reduction can have operational drawbacks. If a machine operates at a certain load with low flux when a load step-up occurs, the flux might not be sufficient to support the new load torque. Such a scenario could be common in dynamic load applications such hybrid and electric vehicles with abrupt braking and acceleration. An overload under flux weakening will cause the machine to stall. This paper investigates constrained loss minimization in induction machines. Results show that it is possible to update the flux optimization constraints to guarantee load support. They also show that shifting the power loss function dynamically can help this load support.

Original languageEnglish (US)
Title of host publication2011 IEEE International Electric Machines and Drives Conference, IEMDC 2011
Pages1149-1152
Number of pages4
DOIs
StatePublished - Sep 14 2011
Event2011 IEEE International Electric Machines and Drives Conference, IEMDC 2011 - Niagara Falls, ON, Canada
Duration: May 15 2011May 18 2011

Publication series

Name2011 IEEE International Electric Machines and Drives Conference, IEMDC 2011

Other

Other2011 IEEE International Electric Machines and Drives Conference, IEMDC 2011
CountryCanada
CityNiagara Falls, ON
Period5/15/115/18/11

Keywords

  • Online loss minimization
  • induction motor drives
  • load support

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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