Model Predictive Current Control with Sliding Mode Speed Control for Brushless DC Motor

Na Fu, Junjun Deng, Shuo Wang, Hai Yu

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

2 Citations (Scopus)

Abstract

In this paper, a model predictive current control (MPCC) method based on pseudo-dq transformation is proposed for maximum torque per ampere (MTPA) control of the brushless dc motor (BLDCM). A current predictive model of BLDCM in discrete steps is built. A cost function considering the torque current tracking and the MTPA operation is introduced. The optimal voltage vector to control the motor is then selected according to the cost function. Additionally, to improve the robustness of the system, a sliding mode control is applied to the outer speed control loop. In the end, the simulation results validate a better performance of the proposed control scheme compared to the traditional control method.

Original languageEnglish
Title of host publication2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2234-2238
Number of pages5
ISBN (Electronic)9781728153018
DOIs
Publication statusPublished - 29 Nov 2020
Event9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia - Nanjing, China
Duration: 29 Nov 20202 Dec 2020

Publication series

Name2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia

Conference

Conference9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
Country/TerritoryChina
CityNanjing
Period29/11/202/12/20

Keywords

  • brushless dc motor (BLDCM)
  • maximum torque per ampere (MTPA)
  • model predictive control (MPC)
  • sliding mode control (SMC)

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