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...
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MDPI AG
2019-09-01
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Series: | Electronics |
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Online Access: | https://www.mdpi.com/2079-9292/8/10/1086 |
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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. |
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language | English |
last_indexed | 2024-04-11T18:43:22Z |
publishDate | 2019-09-01 |
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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 |
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