Deadbeat Current Predictive Control for PMSM Drives Based on a Single FPGA with Digital Implementation Optimization

Zhe Chen, Haiyi Fang, Donghua Wu, Ming Yan, Xuxuan Zhang, Guangzhao Luo

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

2 Scopus citations

Abstract

This paper proposes a field programmable gate arrays (FPGA) digital implementation of the deadbeat current predictive control (DCPC) of permanent magnet synchronous motor (PMSM) with a sliding mode disturbance observer (SMDO). To fulfill the fast sampling and controller-integration requirements of the proposed control algorithm, a FPGA is preferred. With the flexible structure of FPGA, the motor system realizes one-step delay compensation conveniently and improves the dynamic performance as well. The designed maximized parallel pipeline architecture optimizes the computational time of the proposed current control method. The experimental in PMSM drives results that the proposed FPGA implementation achieves high performance with balanced resources consumption.

Original languageEnglish
Title of host publication6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages686-691
Number of pages6
ISBN (Electronic)9781665425575
DOIs
StatePublished - 2021
Event6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021 - Jinan, China
Duration: 20 Nov 202122 Nov 2021

Publication series

Name6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021

Conference

Conference6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
Country/TerritoryChina
CityJinan
Period20/11/2122/11/21

Keywords

  • deadbeat current predictive control (DCPC)
  • Field programmable gate array (FPGA)
  • permanent magnet synchronous motor (PMSM).

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