Position control of an electromagnetic actuator using model predictive control

M. D.Shakib Hasan, Ali El Hafni, Ralph Kennel

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

14 Scopus citations

Abstract

The use of an electromagnetic actuator (EA) is a promising way to replace conventional mechanical actuation such as valve actuation in machines. However, in order to achieve a better performance than mechanical actuation, new control strategies have to be investigated. In this paper, a novel control algorithm based on model predictive control (MPC) is proposed that is able to satisfy all the system and the strict valve positioning requirements. Specifically, a finite set-MPC (FS-MPC) controller together with a proportional integral (PI) controller is used. Additionally, a state estimator based on the Kalman estimator is employed. Simulation results obtained on an EA model show an improved performance with respect to the existing classical control strategies.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages37-41
Number of pages5
ISBN (Electronic)9781538605073
DOIs
StatePublished - 18 Oct 2017
Event2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2017 - Pilsen, Czech Republic
Duration: 4 Sep 20176 Sep 2017

Publication series

NameProceedings - 2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2017

Conference

Conference2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2017
Country/TerritoryCzech Republic
CityPilsen
Period4/09/176/09/17

Keywords

  • Electromagnetic Actuators
  • Finite-Set Model Predictive Control
  • Position control
  • Proportional Integral Controller

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