External mechanical parameters identification of the elastic two-mass system with backlash

Can Wang, Ming Yang, Weilong Zheng, Qinan Ni, Ralph Kennel, DIanguo Xu

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

6 Scopus citations

Abstract

AC servo system will encounter outside disturbances and changes of system parameters when it operates. In order to obtain real-time information of the system and complete self-tuning of the controller parameters, online identification method of mechanical parameters is analyzed in the two-mass system with backlash. Firstly, the identification model and implementation process under no-load and loading conditions are studied. On the basis of that, recursive least squares forgetting factor (FFRLS) method is used to identify multiple parameters simultaneously. The effect of load torque and inertia ratio upon the identification precision is analyzed. For the case of no-load and low inertia-ratio, a shaft torque compensator is combined for backlash compensation, further improving the identification precision. Simulation results show that the linear identification method can be effective in the elastic-backlash nonlinear system under any loading or inertia ratio conditions.

Original languageEnglish
Title of host publication2017 IEEE 12th International Conference on Power Electronics and Drive Systems, PEDS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages593-598
Number of pages6
ISBN (Electronic)9781509023646
DOIs
StatePublished - 2 Jul 2017
Event12th IEEE International Conference on Power Electronics and Drive Systems, PEDS 2017 - Honolulu, United States
Duration: 12 Dec 201715 Dec 2017

Publication series

NameProceedings of the International Conference on Power Electronics and Drive Systems
Volume2017-December
ISSN (Print)2164-5256
ISSN (Electronic)2164-5264

Conference

Conference12th IEEE International Conference on Power Electronics and Drive Systems, PEDS 2017
Country/TerritoryUnited States
CityHonolulu
Period12/12/1715/12/17

Keywords

  • FFRLS
  • backlash
  • parameter identification
  • shaft torque compensator
  • two-mass system

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