Model-Based Quasi-Sliding Mode Control with Loss Estimation Applied to DC–DC Power Converters

This paper presents the experimental implementation of a buck converter with quasi-sliding mode control combined with a loss estimator function. An online loss estimator is developed to estimate, in real time, the parasitic resistances of the converter and variations of the resistance in the load. T...

Full description

Bibliographic Details
Main Authors: Fredy E. Hoyos, John E. Candelo-Becerra, Carlos I. Hoyos Velasco
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/8/10/1086
_version_ 1798026939092434944
author Fredy E. Hoyos
John E. Candelo-Becerra
Carlos I. Hoyos Velasco
author_facet Fredy E. Hoyos
John E. Candelo-Becerra
Carlos I. Hoyos Velasco
author_sort Fredy E. Hoyos
collection DOAJ
description This paper presents the experimental implementation of a buck converter with quasi-sliding mode control combined with a loss estimator function. An online loss estimator is developed to estimate, in real time, the parasitic resistances of the converter and variations of the resistance in the load. The estimated loss resistance and the resistance of the load are embedded, in real time, into the model equations of the controller using Zero Average Dynamics and Fixed Point Induction Control techniques (ZAD-FPIC) to improve the control robustness to resistive parameter variations. Details of the experimental setup are presented to show developed electrical and electronic circuits, and experimental techniques are described to ensure the successful digital implementation of closed-loop control of the buck power converter. The proper shielding of electrical wiring in power electronics allows improvement to the quality of the measures by removing noise induced by electromagnetic interference. A trigger signal is used to implement the Pulse-Width Modulation (PWM) with centered pulse and to synchronize the sampling of analogical signals from the buck converter. Such synchronization allows the use of a lower sampling frequency and ensures the measurements at the right instant in time. Experimental results are in good agreement with numerical simulations, showing the effectiveness of the control approach.
first_indexed 2024-04-11T18:43:22Z
format Article
id doaj.art-c5ae2b1636834fa3817de32b0eec6cac
institution Directory Open Access Journal
issn 2079-9292
language English
last_indexed 2024-04-11T18:43:22Z
publishDate 2019-09-01
publisher MDPI AG
record_format Article
series Electronics
spelling doaj.art-c5ae2b1636834fa3817de32b0eec6cac2022-12-22T04:08:54ZengMDPI AGElectronics2079-92922019-09-01810108610.3390/electronics8101086electronics8101086Model-Based Quasi-Sliding Mode Control with Loss Estimation Applied to DC–DC Power ConvertersFredy E. Hoyos0John E. Candelo-Becerra1Carlos I. Hoyos Velasco2Faculty of Science, School of Physics, Universidad Nacional de Colombia, Sede Medellín, Carrera 65 No. 59A, 110, Medellín 050034, ColombiaFaculty of Mines, Department of Electrical Energy and Automation, Universidad Nacional de Colombia, Sede Medellín, Carrera 80 No. 65–223, Robledo, Medellín 050041, ColombiaIstituto Motori IM, Italian National Research Council, Via Guglielmo Marconi, 4, 80125 Napoli, ItalyThis paper presents the experimental implementation of a buck converter with quasi-sliding mode control combined with a loss estimator function. An online loss estimator is developed to estimate, in real time, the parasitic resistances of the converter and variations of the resistance in the load. The estimated loss resistance and the resistance of the load are embedded, in real time, into the model equations of the controller using Zero Average Dynamics and Fixed Point Induction Control techniques (ZAD-FPIC) to improve the control robustness to resistive parameter variations. Details of the experimental setup are presented to show developed electrical and electronic circuits, and experimental techniques are described to ensure the successful digital implementation of closed-loop control of the buck power converter. The proper shielding of electrical wiring in power electronics allows improvement to the quality of the measures by removing noise induced by electromagnetic interference. A trigger signal is used to implement the Pulse-Width Modulation (PWM) with centered pulse and to synchronize the sampling of analogical signals from the buck converter. Such synchronization allows the use of a lower sampling frequency and ensures the measurements at the right instant in time. Experimental results are in good agreement with numerical simulations, showing the effectiveness of the control approach.https://www.mdpi.com/2079-9292/8/10/1086buck converterZAD-FPICcontrol parameterssliding mode controlrecursive least squares
spellingShingle Fredy E. Hoyos
John E. Candelo-Becerra
Carlos I. Hoyos Velasco
Model-Based Quasi-Sliding Mode Control with Loss Estimation Applied to DC–DC Power Converters
Electronics
buck converter
ZAD-FPIC
control parameters
sliding mode control
recursive least squares
title Model-Based Quasi-Sliding Mode Control with Loss Estimation Applied to DC–DC Power Converters
title_full Model-Based Quasi-Sliding Mode Control with Loss Estimation Applied to DC–DC Power Converters
title_fullStr Model-Based Quasi-Sliding Mode Control with Loss Estimation Applied to DC–DC Power Converters
title_full_unstemmed Model-Based Quasi-Sliding Mode Control with Loss Estimation Applied to DC–DC Power Converters
title_short Model-Based Quasi-Sliding Mode Control with Loss Estimation Applied to DC–DC Power Converters
title_sort model based quasi sliding mode control with loss estimation applied to dc dc power converters
topic buck converter
ZAD-FPIC
control parameters
sliding mode control
recursive least squares
url https://www.mdpi.com/2079-9292/8/10/1086
work_keys_str_mv AT fredyehoyos modelbasedquasislidingmodecontrolwithlossestimationappliedtodcdcpowerconverters
AT johnecandelobecerra modelbasedquasislidingmodecontrolwithlossestimationappliedtodcdcpowerconverters
AT carlosihoyosvelasco modelbasedquasislidingmodecontrolwithlossestimationappliedtodcdcpowerconverters