An improved adaptive fuzzy PID controller for PMSM and a novel stability analysis method

  • Jinglin Liu
  • , Chao Gong
  • , Zexiu Han
  • , Eryang Zhang

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

8 Scopus citations

Abstract

Adaptive fuzzy PID controllers, combining fuzzy controllers which are highly adaptable with conventional PID controllers which have no control error, have been used in vector control systems of permanent synchronous machines(PMSM). In this paper, an adaptive fuzzy PID controller of which membership functions are dramatically improved is designed and applied to a PMSM. Then, simulation in Simulink and practical experiment verify that the controller is well-suited for the system. Finally, a novel stability analysis method for those systems based on adaptive fuzzy PID is proposed and it proves that the PMSM control system in this paper is stable.

Original languageEnglish
Title of host publication2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2161-2164
Number of pages4
ISBN (Electronic)9781509051571
DOIs
StatePublished - 25 Jul 2017
Event3rd IEEE International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017 - Kaohsiung, Taiwan, Province of China
Duration: 3 Jun 20177 Jun 2017

Publication series

Name2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017

Conference

Conference3rd IEEE International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period3/06/177/06/17

Keywords

  • adaptive fuzzy PID controller
  • PMSM
  • stability
  • vector control system

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