Title
Predictive Control Applied to a Boost Converter of a Photovoltaic System
Date Issued
01 April 2022
Access level
metadata only access
Resource Type
journal article
Author(s)
Filho A.J.S.
Inomoto R.S.
Rodrigues L.L.
Cunha R.B.A.
Federal University of the Acre
Publisher(s)
Springer
Abstract
Generation units like photovoltaics systems require high efficiency using closed-loop control system. MPPT algorithm permits to track maximum power from photovoltaic module. This paper proposes the predictive control applied to a boost converter of solar plant to increase the controller performance. The controller consists in two control loops: the outer control loop calculates the inductor current oriented by voltage from MPPT algorithm to minimize input voltage error. And inner control loop employs the state-space boost converter model computed using its transfer function to predict the current. Duty cycle that guarantees the current tracks the reference current has computed by a minimized cost function using the future references and the predicted values. Additionally, the proposal employs constant switching frequency using a modulator. A lead-lag controller and sliding mode controller are implemented in order to compare the performance of the predictive controller in experimental setup and the results endorses the proposal.
Start page
393
End page
405
Volume
33
Issue
2
Language
English
OCDE Knowledge area
Ingeniería eléctrica, Ingeniería electrónica
Scopus EID
2-s2.0-85114183892
Source
Journal of Control, Automation and Electrical Systems
ISSN of the container
21953880
Sponsor(s)
The authors thank to CAPES, Brazil, CNPq (Process 405757/2018-2), Brazil, and FAPESP (Processes 2017/04623-3), Brazil, by the financial support.
Sources of information: Directorio de Producción Científica Scopus