Modeling and Speed Control for a Doubly-Salient Special Machine Employing a High-Fidelity Plant Model

Chandra Sekhar Goli, Somasundaram Essakiappan, James Gafford, Dan M. Ionel, Madhav Manjrekar, Nakul Shah

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Analytical modeling and evaluation of field-oriented control for a high-power density three-phase doubly-salient special machine are presented in this paper. The special machine contains 12 modular concentrated coils and 12 PMs in the stator and 10 pole protrusions in the rotor. The machine has been designed to operate at a rated torque of 42Nm at a base speed of 5000rpm. A generalized dynamic torque equation and an analytical model for the proposed special machine are established. The dynamic model has been used to realize an equivalent circuit by applying the synchronous reference frame theory. A high-fidelity plant model of the special machine has been developed using FEA software, and the machine characteristics have been imported into motor drive simulation software for speed control analysis. A field-oriented control technique for the special machine in synchronous reference frame has been implemented to regulate the speed over a wide range in both constant torque and field weakening regimes for electric vehicle traction applications. Stability analysis for the controller has been presented and verified by simulations in continuous domain.

Original languageEnglish
Title of host publication2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings
ISBN (Electronic)9781665475877
DOIs
StatePublished - 2022
Event2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Merced, United States
Duration: Nov 1 2022Nov 4 2022

Publication series

Name2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings

Conference

Conference2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022
Country/TerritoryUnited States
CityMerced
Period11/1/2211/4/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • PMSM
  • flux switching machine
  • motor control
  • stability analysis
  • traction motor

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Aerospace Engineering
  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Modeling and Simulation

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