Robust H-infinity speed control of permanent magnet synchronous motor without load torque observer

Yernar Zhetpissov, Azamat Kaibaldiyev, Ton Duc Do

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

Abstract

The given paper presents an application of linear H-infinity control technique on SPMSM for robust control without load torque observer. It is possible due to additional equation embedded into mathematical model of the SPMSM model to provide tracking capability. Despite of severe conditions such as high parameter variations and unknown load torque, H-infinity control method demonstrates robust speed tracking. H-infinity controller minimizes the effect of unmatched disturbance, i.e. load torque disturbance, on the output. The proposed control technique was compared with conventional three equation state-space model H- infinity controller. The proposed control scheme was shown to effectively attenuate both matched and unmatched disturbances. Although the transient characteristics are not as smooth as in the case of conventional third order system, the proposed robust H-infinity controller exhibits satisfactory behavior in conditions of load torque step changes and dramatic motor parameters changes without load torque observer.

Original languageEnglish
Title of host publication2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728112497
DOIs
Publication statusPublished - Oct 2019
Event2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Hanoi, Viet Nam
Duration: Oct 14 2019Oct 17 2019

Publication series

Name2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings

Conference

Conference2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019
CountryViet Nam
CityHanoi
Period10/14/1910/17/19

Keywords

  • H-infinity
  • Modified states
  • Robust control
  • SPMSM

ASJC Scopus subject areas

  • Control and Optimization
  • Modelling and Simulation
  • Artificial Intelligence
  • Transportation
  • Energy Engineering and Power Technology
  • Fuel Technology
  • Automotive Engineering
  • Electrical and Electronic Engineering

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