A Novel Newton-Raphson-Based Searching Method for the MTPA Control of Pmasynrm Considering Magnetic and Cross Saturation

Shuo Wang, Michele Degano, Jinsong Kang, Alessandro Galassini, Chris Gerada

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

6 Citations (Scopus)

Abstract

Maximum torque per ampere control (MTPA) takes full advantage of the reluctance torque aiming at the minimum copper loss, which can increase the torque output under the minimum current conditions. The traditional MTPA method makes use of equations with constant inductance values which are implemented as look-up tables. However, the inductances of the motor present both magnetic saturation and cross-saturation characteristics. Those parameters are changing depending on the operating point. This paper presents a novel MTP A control strategy of permanent-magnet assisted synchronous reluctance motor (PMaSynRM) implementing a Newton-Raphson-Based Searching Method for improving the control accuracy for optimal current reference. The proposed method eliminates the need of fitting operations due to the nonlinearity of the MTP A formulation and takes the inductance variation, due to magnetic saturation, into account. Finally, the effectiveness of the proposed method is verified by means of Matlab/Simulink simulations.

Original languageEnglish
Title of host publicationProceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1360-1366
Number of pages7
ISBN (Electronic)9781538624777
DOIs
Publication statusPublished - 24 Oct 2018
Event23rd International Conference on Electrical Machines, ICEM 2018 - Alexandroupoli, Greece
Duration: 3 Sep 20186 Sep 2018

Publication series

NameProceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018

Conference

Conference23rd International Conference on Electrical Machines, ICEM 2018
Country/TerritoryGreece
CityAlexandroupoli
Period3/09/186/09/18

Keywords

  • Cross-Saturation
  • MTPA control
  • Magnetic Saturation
  • Newton-Raphson Algorithm
  • PM assisted Reluctance Motor

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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