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Time optimal torque control and loss minimization in AC machines using deadbeat direct torque and flux control

  • Jae Suk Lee
  • , Wei Xu
  • , Zachary Hurst
  • , Brian Bradley
  • , Francesco Quattrone
  • , Robert D. Lorenz*
  • *Corresponding author for this work
  • University of Wisconsin-Madison
  • Leibniz University Hannover

Research output: Contribution to conferenceConference paperpeer-review

Abstract

This paper presents time optimal torque control in overmodulation and switching level loss minimization control of an induction machine (IM) and an interior permanent magnet synchronous machine (IPMSM) via deadbeat, direct torque and flux control (DB-DTFC). Using DB-DTFC, the stator flux linkage can be manipulated each PWM cycle to minimize losses during normal operation. Due to voltage limits during overmodulation it may take a sequence of incremental torque commands over several PWM periods to achieve a desired air-gap torque that is physically infeasible in one step. In that case, the DB control becomes finite settling step (FSS) control in which the steps may be optimized using time optimal strategies. In this paper, a time optimal FSS control using a DB-DTFC solution during overmodulation and a loss minimizing DB-DTFC solution over the full torque-speed operating space are proposed and evaluated for IM and IPMSM drives.

Original languageEnglish
Title of host publication2011 International Conference on Electrical Machines and Systems, ICEMS 2011
DOIs
StatePublished - 2011
Event2011 International Conference on Electrical Machines and Systems, ICEMS 2011 - Beijing, China
Duration: 2011.08.202011.08.23

Publication series

Name2011 International Conference on Electrical Machines and Systems, ICEMS 2011

Conference

Conference2011 International Conference on Electrical Machines and Systems, ICEMS 2011
Country/TerritoryChina
CityBeijing
Period11.08.2011.08.23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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