Alireza Karimi

Biographie

Alireza Karimi received his B. Sc. and M. Sc. degrees in Electrical Engineering in 1987 and 1990, respectively, from Amir Kabir University (Tehran Polytechnic). Then he received his DEA and Ph. D. degrees both on Automatic Control from Institut National Polytechnique de Grenoble (INPG) in 1994 and 1997, respectively. He was Assistant Professor at Electrical Engineering Department of Sharif University of Technology in Teheran from 1998 to 2000. Then he joined Automatic Laboratory of Swiss Federal Institute of Technology at Lausanne, Switzerland. He is currently Professor of Automatic Control and the head of "Data-Driven Modelling and Control" group. His research interests include data-driven controller tuning and robust control with application to mechatronic systems and electrical grids.

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https://people.epfl.ch/alireza.karimi?lang=fr

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Le régulateur PID, appelé aussi correcteur PID (proportionnel, intégral, dérivé) est un système de contrôle permettant d’améliorer les performances d'un asservissement, c'est-à-dire un système ou pr

vignette|Chaise de Charles Rennie Mackintosh, 1897. Le design, le stylisme ou la stylique est une activité de création souvent à vocation industrielle ou commerciale, pouvant s’orient

En ingénierie, la robustesse d'un système se définit comme la « stabilité de sa performance ». On distingue trois types de systèmes :

les systèmes non-performants, qui ne remplissent pas les fonct

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Publications associées (204)

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Data-driven fixed-structure frequency-based H2 and H∞ controller design

Vaibhav Gupta, Alireza Karimi, Philippe Louis Schuchert

The frequency response data of a generalized system is used to design fixed-structure controllers for the H2 and H∞ synthesis problem. The minimization of the two and infinity norm of the transfer function between the exogenous inputs and performance outputs is approximated by a convex optimization problem involving Linear Matrix Inequalities (LMIs). A very general controller parametrization is used for continuous and discrete-time controllers with matrix transfer function or state-space representation. Numerical results indicate that the proposed data-driven method gives equivalent performance to model-based approaches when a parametric model is available.

2023

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A new approach is presented to obtain a convex set of robust D—stabilizing fixed structure controllers, relying on Cauchy's argument principle. A convex set of D—stabilizing controllers around an initial D—stabilizing controller for a multi-model set is represented by an infinite set of Linear Matrix Inequalities (LMIs). By appropriate sampling of the D—stability boundary, a Semi-Definite Programming (SDP) is proposed that can be integrated in other synthesis approaches to ensure D—stability along other design specifications. To showcase utility of the proposed approach, two different examples are given: a boost converter with multi-model uncertainty and a laser-beam system modeled by an identified finite impulse response.

Elsevier2022

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Closed-loop data-driven modeling and distributed control for islanded microgrids with input constraints

Alireza Karimi, Seyed Sohail Madani, Dongdong Zheng

In this paper a new nonlinear identification method for microgrids based on neural networks is proposed. The system identification process can be done using the available closed-loop system input/output data recorded during normal operation without additional external excitation, while disturbances between different distributed energy resources are considered to improve the identification accuracy. Moreover, Based on the nonlinear identified model, a novel distributed frequency/voltage regulation and active/reactive power sharing control framework is developed. The new control strategy does not rely on the classical droop -based hierarchical control structure, such that improved transient performance and accurate power sharing for microgrid with mixed lines can be achieved. Furthermore, the anti-windup technique is incorporated into the controller design process to guarantee that the input constraints are satisfied and the voltage deviations are within an acceptable range. The effectiveness of the proposed method is demonstrated via simulations.

PERGAMON-ELSEVIER SCIENCE LTD2022

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