Improved model predictive control of permanent magnet synchronous motor with duty ratio optimization and cost function correction

Ming Liu, Jiefeng Hu, Ka Wing Chan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This paper presents an improved model predictive control (MPC) for permanent magnet synchronous motor (PMSM) drives. The proposed MPC is different from the conventional MPC in applying two voltage vectors in every control period. The duty ratio is firstly calculated using a simple but effective method with the consideration of the one-step delay. The cost function is then modified by incorporating the duty ratio, thus to calculate the optimal voltage vector applied in every sampling period. Based on the improved MPC, the elimination of weight factor k1 and the compensation of stability factors are further proposed to further correct the cost function. Test results show that the proposed control strategy contributes to lower torque and flux ripples, faster dynamic response, better start-up response compared to the conventional MPC.
Original languageEnglish
Title of host publication2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017
PublisherIEEE
ISBN (Electronic)9781538632468
DOIs
Publication statusPublished - 2 Oct 2017
Event20th International Conference on Electrical Machines and Systems, ICEMS 2017 - Sydney, Australia
Duration: 11 Aug 201714 Aug 2017

Conference

Conference20th International Conference on Electrical Machines and Systems, ICEMS 2017
CountryAustralia
CitySydney
Period11/08/1714/08/17

Keywords

  • Cost function correction
  • Duty ratio optimization
  • Model predictive control (MPC)
  • Permanent magnet synchronous motor (PMSM)

ASJC Scopus subject areas

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

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