Estimation and control of sensorless brushless dc motor drive using ensemble kalman filter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, a technique for estimation of the rotor speed and position of a BLDC motor is presented. BLDC motors are nonlinear system and to control BLDC, rotor position must be known. This is usually done by using sensors that result in increased costs, the size of the motor and reduces reliability. In this research, the rotor speed and rotor position of BLDC motor are estimated by Ensemble Kalman Filter only use the stator line voltage and current measurement. The Ensemble Kalman Filter (EnKF) is a recursive filter suitable for non-linear systems. The estimated rotor speed and position rotor has been used for the motor drive and closed loop speed control of the BLDC motor. The performance of the proposed technique is demonstrated through real-Time simulation.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Computer Modeling and Simulation, ICCMS 2017
PublisherAssociation for Computing Machinery
Pages192-195
Number of pages4
ISBN (Electronic)9781450348164
DOIs
Publication statusPublished - 20 Jan 2017
Event8th International Conference on Computer Modeling and Simulation, ICCMS 2017 - Canberra, Australia
Duration: 20 Jan 201723 Jan 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F128047

Conference

Conference8th International Conference on Computer Modeling and Simulation, ICCMS 2017
CountryAustralia
CityCanberra
Period20/01/1723/01/17

Keywords

  • BLDC motor
  • Ensemble kalman filter
  • Estimation
  • Mathematical modeling

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