Finite control set-model predictive control with on-line parameter estimation for variable-speed wind energy conversion systems

Nico Stati, Mohamed Abdelrahem, Muhammad Hosnee Mobarak, Ralph Kennel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Scopus citations

Abstract

In this paper, a finite control set-model predictive control (FCS-MPC) scheme with on-line parameter estimation for permanent magnet synchronous generators (PMSGs) based variable-speed wind turbines is proposed. For designing the proposed FCS-MPC, the discrete time model of the PMSG is considered and the future behavior is predicted. Afterward, the switching action that produces the minimum value of a predefined cost function is applied in the next sampling instant. In order to increase the robustness of the proposed FCS-MPC against parameter variations of the PMSG, an extended Kalman filter (EKF) is implemented for estimating the stator resistance and inductance of the PMSG. The performance of the proposed FCS-MPC with on-line parameter estimation is proved via simulation results for all operation conditions.

Original languageEnglish
Title of host publication2016 International Symposium on Industrial Electronics, INDEL 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509023295
DOIs
StatePublished - 27 Dec 2016
Event2016 International Symposium on Industrial Electronics, INDEL 2016 - Banja Luka, Bosnia and Herzegovina
Duration: 3 Nov 20165 Nov 2016

Publication series

Name2016 International Symposium on Industrial Electronics, INDEL 2016 - Proceedings

Conference

Conference2016 International Symposium on Industrial Electronics, INDEL 2016
Country/TerritoryBosnia and Herzegovina
CityBanja Luka
Period3/11/165/11/16

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