@inproceedings{a3880835cb7d49eeb5b418c26a840128,
title = "Comparison between linear- and nonlinear-feedback control for a synchronous reluctance machine",
abstract = "This paper presents a performance comparison of feedback linearization and field oriented control for a synchronous reluctance machine. In order to represent realistic drive performance and dynamics, look-up tables of the machine inductances as a function of currents are used to include saturation effect. Additionally, a trained neural network was implemented to take the nonlinear behavior of the voltage source inverter into consideration. For a fair comparison between both methods, a genetic algorithm has been used for optimization of the controller settings. A linear model of the synchronous reluctance machine has been obtained after the nonlinearities are canceled through the feedback linearization where the dynamics of the machine are dictated by a reference plant model.",
keywords = "Feedback Linearization, Field Oriented Control, Genetic Algorithm, Machine Modelling, Machine Testing, Neural Network, Synchronous Reluctance Machine",
author = "Tamas, {Anton H.} and Martis, {Claudia S.} and Simon Wiedemann and Kennel, {Ralph M.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 26th IEEE International Symposium on Industrial Electronics, ISIE 2017 ; Conference date: 18-06-2017 Through 21-06-2017",
year = "2017",
month = aug,
day = "3",
doi = "10.1109/ISIE.2017.8001255",
language = "English",
series = "IEEE International Symposium on Industrial Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "244--251",
booktitle = "Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017",
}