A Modified Current Predict Controll with Incremental Inductance and Resistance Self-learning for Switched Reluctance Machines

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

Abstract

A fixed switching frequency current predict control method for switched reluctance motors (SRM) is presented in this paper. Utilizing the incremental inductance profile measured by the rotating method, the proposed current controller accurately predicts the required RMS voltage for a given reference current in next time step. Besides, considering the actual delay time of digital controller, this paper proposes a delay compensation method based on the iteration. Afterward, recursive least-squares (RLS) is used for resistance estimation while an adaptive controller is used to dynamically update CPC models. The control method is verified through simulation and followed by experimental validation based on TMS320F28335 DSP.

Original languageEnglish
Title of host publication2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728133980
DOIs
StatePublished - Aug 2019
Externally publishedYes
Event22nd International Conference on Electrical Machines and Systems, ICEMS 2019 - Harbin, China
Duration: 11 Aug 201914 Aug 2019

Publication series

Name2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

Conference

Conference22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Country/TerritoryChina
CityHarbin
Period11/08/1914/08/19

Keywords

  • current predict control (CPC)
  • delay compensation
  • parameter measurement
  • recursive least-squares (RLS)
  • switched reluctance motor (SRM)

Fingerprint

Dive into the research topics of 'A Modified Current Predict Controll with Incremental Inductance and Resistance Self-learning for Switched Reluctance Machines'. Together they form a unique fingerprint.

Cite this