Title
Predictive Power Control for DFIG: A FARE-Based Weighting Matrices Approach
Date Issued
01 June 2019
Access level
metadata only access
Resource Type
journal article
Author(s)
Rodrigues L.
Murari A.
Filho A.
Federal University of Acre
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
Model predictive control (MPC) is a very popular technique for doubly fed induction generator (DFIG), and several MPC topologies have been proposed. However, most of the time, the controller parameters are done in a heuristic way. This paper proposes an analytical method for the design weighting matrices based on the fake algebraic Riccati equation (FARE). The proposed methodology guarantees the control system stability. Furthermore, simulations results were used to choose the desired control horizon and the desired prediction horizon, considering the steady-state error and the computational cost. Moreover, the DFIG vector control model, the MPC theory, and the FARE formulation were presented. Experimental results were shown to endorse the proposed method.
Start page
967
End page
975
Volume
7
Issue
2
Language
English
OCDE Knowledge area
Ingeniería eléctrica, Ingeniería electrónica
Scopus EID
2-s2.0-85065236856
Source
IEEE Journal of Emerging and Selected Topics in Power Electronics
ISSN of the container
21686777
Sponsor(s)
Manuscript received February 21, 2018; revised October 8, 2018 and January 2, 2019; accepted February 5, 2019. Date of publication February 12, 2019; date of current version May 1, 2019. This work was supported in part by Coordination for the Improvement of Higher Education Personnel, Brazil, in part by the National Council for Scientific and Technological Development, Brazil, under Grant 405757/2018-2, and in part by São Paulo Research Foundation, Brazil. Recommended for publication by Associate Editor Joseph O. Ojo. (Corresponding author: Lucas L. Rodrigues.) L. L. Rodrigues, A. L. L. F. Murari, and A. J. S. Filho are with the Laboratory of Power Electronics and Smart Grids, Center of Engineering, Modeling, and Applied Social Sciences, Federal University of ABC, Santo André 09210-580, Brazil (e-mail: rodrigues.lucas@ufabc.edu.br; andre_murari@hotmail.com; alfeu.sguarezi@ufabc.edu.br).
Sources of information: Directorio de Producción Científica Scopus