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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Design Procedure Combining Linear Matrix Inequalities and Genetic Algorithm for Robust Control of Grid-Connected Converters

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Author(s):
Koch, Gustavo Guilherme [1] ; Osorio, Caio R. D. [1] ; Pinheiro, Humberto [1] ; Oliveira, Ricardo C. L. F. [2] ; Montagner, Vinicius Foletto [1]
Total Authors: 5
Affiliation:
[1] Fed Univ Santa Maria UFSM, BR-97105900 Santa Maria, RS - Brazil
[2] Univ Campinas UNICAMP, Sch Elect & Comp Engn, BR-13083970 Campinas - Brazil
Total Affiliations: 2
Document type: Journal article
Source: IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS; v. 56, n. 2, p. 1896-1906, MAR-APR 2020.
Web of Science Citations: 0
Abstract

This article proposes a design procedure for current controllers suitable for application in grid-connected converters (GCCs) subject to disturbances and uncertain parameters. Linear matrix inequalities provide robust state feedback controllers from a set of design parameters automatically tuned with the help of a genetic algorithm, oriented by a suitable objective function. Such strategy allows to overcome the problem of high control gains, ensuring a good tradeoff between performance and robustness against uncertain grid parameters. The proposal contributes to improve the effective use of metaheuristics for automated control tuning in GCCs, avoiding time-consuming human-machine interaction in the design stage. A case study with experimental results is presented, demonstrating the viability and the superior performance of the proposed controllers with respect to similar techniques, and also the compliance with the IEEE 1547 Std for grid currents. (AU)

FAPESP's process: 17/18785-5 - Parameter-Dependent Linear Matrix Inequalities Applied to Stability Analysis and Synthesis of Controllers and Filters for Uncertain Dynamic Systems
Grantee:Pedro Luis Dias Peres
Support type: Regular Research Grants