@inproceedings{96716cc44c0844e88398055e6416a2b8,
title = "Data-driven LQR for permanent magnet synchronous machines",
abstract = "In this paper, application of data-driven Linear quadratic regulator (LQR) approach for a permanent magnet synchronous machines (PMSM) is introduced. The gain of feedback control is calculated using only input and output data of the PMSM. The estimation algorithm of system Markov parameters as well as an extended observability matrix is given. Simulation results of the proposed controller and model-based LQR are compared using Matlab/Simulink.",
keywords = "Data-driven control, LQR, Markov parameters, Permanent magnet synchronous machines (PMSM), Ricatti equation, Toeplitz matrix",
author = "Kanat Suleimenov and Do, {Ton Duc}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 ; Conference date: 14-10-2019 Through 17-10-2019",
year = "2019",
month = oct,
doi = "10.1109/VPPC46532.2019.8952466",
language = "English",
series = "2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings",
address = "United States",
}