Data-Driven Loewner Matrices-Based Modeling and Model Predictive Control of a Single Machine Infinite Bus Model

T. C. Ionescu, O. V. Iftime, I. Necoara

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

Abstract

In this paper, we consider the problem of data-driven modelling and model predictive control (MPC) of a single machine infinite bus system (SMIB). When a linear state-space model of the plant is not available, a pair of Loewner matrices is constructed from a set of measured input-output data and a set of prescribed poles. We prove that the Loewner matrices are the solutions of two Sylvester equations. We compute the unique linear model of an order equal to the dimension of the data sets, that interpolates the input-output data and that has all the poles prescribed at the selected locations. As an application we perform MPC on both the original system and its approximant. The simulation show that the linear data-driven model is a good approximation of the SMIB and achieves good closed-loop MPC performance.

Original languageEnglish
Title of host publication2024 32nd Mediterranean Conference on Control and Automation, MED 2024
PublisherIEEE
Pages610-615
Number of pages6
ISBN (Electronic)9798350395440
DOIs
Publication statusPublished - 27-Jun-2024
Event32nd Mediterranean Conference on Control and Automation, MED 2024 - Chania, Crete, Greece
Duration: 11-Jun-202414-Jun-2024

Publication series

NameMediterranean Conference on Control and Automation (MED)
PublisherIEEE
ISSN (Electronic)2473-3504

Conference

Conference32nd Mediterranean Conference on Control and Automation, MED 2024
Country/TerritoryGreece
CityChania, Crete
Period11/06/202414/06/2024

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