@inproceedings{235f171c1ce1442c9f0ff3aff7baeb65,
title = "Multiobjective Fuzzy Predictive Torque Control of an induction motor drive",
abstract = "In the recent years the use of Model Predictive Control (MPC) in electrical drives has been widely reported both theoretically and experimentally. Predictive Torque Control (PTC) has been developed to control induction motor drives, allowing high-performance and fast dynamics. However, the optimization used in PTC is based on a single cost function minimization, where control objectives are merged by using weighting factors. The adjustment of these factors is achieved through a nontrivial process and they are heavily dependent on the system parameters. To avoid this process, a Multiobjective Fuzzy Predictive Torque Control (FPTC) is presented. The proposed strategy changes the single cost function with a Multiobjective Optimization based on Fuzzy-Decision-Making. Simulation results are presented to illustrate the behavior of the drive.",
keywords = "Decision making, Fuzzy sets, Induction motor drives, Predictive control, Variable speed drives",
author = "Rojas, {Christian A.} and Jose Rodriguez and Felipe Villarroel and Jose Espinoza and Khaburi, {Davood A.}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 6th Annual International Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2015 ; Conference date: 03-02-2015 Through 04-02-2015",
year = "2015",
month = apr,
day = "23",
doi = "10.1109/PEDSTC.2015.7093274",
language = "English",
series = "6th Annual International Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "201--206",
booktitle = "6th Annual International Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2015",
}