Proposal of a fuzzy controller for radial position in a bearingless induction motor

Evandro Ailson De Freitas Nunes, Andrés Ortiz Salazar, Elmer Rolando Llanos Villarreal, Francisco Elvis Carvalho Souza, Luciano Pereira Dos Santos, José Soares Batista Lopes, Juan Carlos Cutipa Luque

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

In this paper, a radial position control approach of a bearingless induction motor is proposed. The rotor is supported by magnetic forces, which is complex to model. Generally, simplifications are adopted to determine a linearized model that hinders classical controllers' performance. On the other hand, fuzzy controllers have non-linear characteristics and do not require precise mathematical models. Instead, it uses the experience and knowledge of human operators to build a knowledge base to be used on the control. The prototype under study is a three-phase induction motor without a rated power of 1 HP, 4-pole, 220/380V and rated current 3/1.75A. It operates on a vertical axis, so there is no need to compensate for the rotor weight. The paper proposes the implementation of a Mamdani Fuzzy PD controller in order to control the rotor radial position of a three-phase induction motor by means of a Texas Instruments TMS320F28335 Digital Signal Processor (DSP). We present experimental results that validate the good performance of the fuzzy controller.

Original languageEnglish
Article number8794801
Pages (from-to)114808-114816
Number of pages9
JournalIEEE Access
Volume7
DOIs
StatePublished - 2019

Bibliographical note

Funding Information:
This work was suported in part by the Comiss?o de Aperfei?oamento de Pessoal do N?vel Superior (CAPES), in part by the Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico (CNPq), and in part by the UNSA Investiga under Grant IAI-019-2018-UNSA.

Funding Information:
This work was suported in part by the Comissão de Aperfeiçoamento de Pessoal do Nível Superior (CAPES), in part by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), and in part by the UNSA Investiga under Grant IAI-019-2018-UNSA.

Publisher Copyright:
© 2019 JPR Solutions. All rights reserved.

Keywords

  • Bearingless induction motor
  • DSP
  • Fuzzy controller
  • Split windings machine

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