Model predictive speed control with dynamic reference for electric drive of permanent magnet synchronous machine

Luocheng Wang, Tao Han, Tiefu Zhao

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

1 Scopus citations

Abstract

This paper presents an improved finite control set model predictive control (FCS-MPC) for the electric drive system. In the conventional FCS-MPC, the speed regulation is achieved by PI-based outer loop and MPC-based inner loop. This structure weakens the features of fast dynamic response from the model predictive control. In the proposed FCS-MPC, a dynamic reference is introduced to formulate a holistic FCS-MPC in place of the PI-based outer loop. This new structure provides the system with the features of the shorter settling time and zero overshoot. Moreover, these performances are adjusted by a novel design variable called reference prediction horizon defined in the dynamic reference. The performance of the proposed FCS-MPC with dynamic reference is analyzed and verified in both simulations and experiments. A 2-kW electric drive prototype for a permanent magnet synchronous machine has been fully developed and the experimental results demonstrated the feasibility of the proposed method.

Original languageEnglish (US)
Title of host publication2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4085-4090
Number of pages6
ISBN (Electronic)9781728103952
DOIs
StatePublished - Sep 2019
Externally publishedYes
Event11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 - Baltimore, United States
Duration: Sep 29 2019Oct 3 2019

Publication series

Name2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019

Conference

Conference11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019
Country/TerritoryUnited States
CityBaltimore
Period9/29/1910/3/19

All Science Journal Classification (ASJC) codes

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

Keywords

  • Machine side converter
  • Model predictive control
  • Motor drive
  • Permanent magnet synchronous machine

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