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On Disturbance Rejection of Load Simulator Using Model-based ESO

  • Harbin Institute of Technology
  • Baidu Inc

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

Abstract

To increase the suppression rate of surplus torque of load simulator, this paper proposes a high-performance model-based extended state observer(ESO) to estimate the total disturbance and compensate the system as the nominal model of actual system. First the third-order model-based ESO is designed for a class of second-order systems in which the model information is used in ESO structure to improve performance. And a parameter tuning method with better noise suppression ability and observation performance, instead of the classic pole-placement method, is used to obtain accurate disturbance observation, which can effectively enhance the surplus torque suppression ability of the load simulator. Furthermore, experiments on actual load simulator are conducted to verify the effectiveness and superiority of this method.

Original languageEnglish
Title of host publication2018 IEEE 14th International Conference on Control and Automation, ICCA 2018
PublisherIEEE Computer Society
Pages668-673
Number of pages6
ISBN (Print)9781538660898
DOIs
StatePublished - 21 Aug 2018
Event14th IEEE International Conference on Control and Automation, ICCA 2018 - Anchorage, United States
Duration: 12 Jun 201815 Jun 2018

Publication series

NameIEEE International Conference on Control and Automation, ICCA
Volume2018-June
ISSN (Print)1948-3449
ISSN (Electronic)1948-3457

Conference

Conference14th IEEE International Conference on Control and Automation, ICCA 2018
Country/TerritoryUnited States
CityAnchorage
Period12/06/1815/06/18

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