Predictive controllers applied to the six-phase induction motor and to the double fed induction generator

• Grant number: 17/14068-7
• Support Opportunities: Regular Research Grants
• Start date: February 01, 2018
• End date: April 30, 2020
• Field of knowledge: Engineering - Electrical Engineering - Industrial Electronics, Electronic Systems and Controls
• Principal Investigator: Edson Bim
• Grantee: Edson Bim
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated researchers: Fabiano Camargo Rosa ; Paulo Sergio Dainez ; Rodrigo Andreoli de Marchi

Abstract

The implementation of three predictive controllers - one linear and two non-linear - that allowhigh performance and robustness in the control of stator currents, rotor flux and speed of anasymmetrical six-phase induction motor , as well as two non-linear controllers are implemented to control of the flow of energy in a double fed induction generator. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

ROSA, FABIANO C.; BIM, EDSON. A Constrained Non-Linear Model Predictive Controller for the Rotor Flux-Oriented Control of an Induction Motor Drive. ENERGIES, v. 13, n. 15, AUG 2020. (17/14068-7)

DAINEZ, PAULO S.; BIM, EDSON; IEEE. A New Multiphase Rotor Model for the Squirrel Cage Rotor of a Six-phase Induction Machine. IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, v. N/A, p. 6-pg., 2018-01-01. (12/05920-8, 17/14068-7)