An adaptive-predictive control scheme with dynamic hysteresis modulation applied to a DC-DC buck converter
- Author
- Nubia Ilia Ponce de León Puig, Dimitar Bozalakov (UGent) , Leonardo Acho, Lieven Vandevelde (UGent) and José Rodellar
- Organization
- Abstract
- This article proposes a recent Adaptive–Predictive (AP) control technique applied to a DC–DC buck converter. This converter topology has a wide range of applications in the current electronic and electrical systems that demand an efficient use of low bus voltage and specific requirements in load current consumption. Nevertheless, this converter, and in general any DC–DC converter topology, presents a control challenge due to its nonlinear nature. Hence, in this article, it is proposed an adaptive–predictive control scheme that has low implementation complexity and improves the buck converter performance since it provides a fast response of the output voltage. Moreover, the output is adequately regulated even when the system is subjected to perturbations in the reference voltage, in the input voltage, in the load or in the converter parameters that may be seen as faults in the system. On the other hand, one of the main contributions of the proposed control technique with respect to other controllers is that the AP control scheme allows to on-line infer the parametric status of the plant thanks to its adaptive stage. In addition, a dynamic Hysteresis Modulator (HM) is properly inserted in the control strategy to improve the dynamic behavior of the Adaptive Mechanism (AM), and in general, of the entire closed-loop control performance. To validate the effectiveness of the control design, a wide range of numerical experiments are carried out by using Matlab/Simulink. Finally, the developed control technique was implemented in a benchmark experimental platform. According to the experimental results, the proposed predictive control is suitable for real scenarios in the power electronics applications.
- Keywords
- DC-DC buck converter, Adaptive-predictive control, Hysteresis modulation, SLIDING-MODE CONTROL, POWER CONVERTERS, TOPOLOGIES, DESIGN
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8664566
- MLA
- Ponce de León Puig, Nubia Ilia, et al. “An Adaptive-Predictive Control Scheme with Dynamic Hysteresis Modulation Applied to a DC-DC Buck Converter.” ISA TRANSACTIONS, vol. 105, 2020, pp. 240–55, doi:10.1016/j.isatra.2020.05.015.
- APA
- Ponce de León Puig, N. I., Bozalakov, D., Acho, L., Vandevelde, L., & Rodellar, J. (2020). An adaptive-predictive control scheme with dynamic hysteresis modulation applied to a DC-DC buck converter. ISA TRANSACTIONS, 105, 240–255. https://doi.org/10.1016/j.isatra.2020.05.015
- Chicago author-date
- Ponce de León Puig, Nubia Ilia, Dimitar Bozalakov, Leonardo Acho, Lieven Vandevelde, and José Rodellar. 2020. “An Adaptive-Predictive Control Scheme with Dynamic Hysteresis Modulation Applied to a DC-DC Buck Converter.” ISA TRANSACTIONS 105: 240–55. https://doi.org/10.1016/j.isatra.2020.05.015.
- Chicago author-date (all authors)
- Ponce de León Puig, Nubia Ilia, Dimitar Bozalakov, Leonardo Acho, Lieven Vandevelde, and José Rodellar. 2020. “An Adaptive-Predictive Control Scheme with Dynamic Hysteresis Modulation Applied to a DC-DC Buck Converter.” ISA TRANSACTIONS 105: 240–255. doi:10.1016/j.isatra.2020.05.015.
- Vancouver
- 1.Ponce de León Puig NI, Bozalakov D, Acho L, Vandevelde L, Rodellar J. An adaptive-predictive control scheme with dynamic hysteresis modulation applied to a DC-DC buck converter. ISA TRANSACTIONS. 2020;105:240–55.
- IEEE
- [1]N. I. Ponce de León Puig, D. Bozalakov, L. Acho, L. Vandevelde, and J. Rodellar, “An adaptive-predictive control scheme with dynamic hysteresis modulation applied to a DC-DC buck converter,” ISA TRANSACTIONS, vol. 105, pp. 240–255, 2020.
@article{8664566, abstract = {{This article proposes a recent Adaptive–Predictive (AP) control technique applied to a DC–DC buck converter. This converter topology has a wide range of applications in the current electronic and electrical systems that demand an efficient use of low bus voltage and specific requirements in load current consumption. Nevertheless, this converter, and in general any DC–DC converter topology, presents a control challenge due to its nonlinear nature. Hence, in this article, it is proposed an adaptive–predictive control scheme that has low implementation complexity and improves the buck converter performance since it provides a fast response of the output voltage. Moreover, the output is adequately regulated even when the system is subjected to perturbations in the reference voltage, in the input voltage, in the load or in the converter parameters that may be seen as faults in the system. On the other hand, one of the main contributions of the proposed control technique with respect to other controllers is that the AP control scheme allows to on-line infer the parametric status of the plant thanks to its adaptive stage. In addition, a dynamic Hysteresis Modulator (HM) is properly inserted in the control strategy to improve the dynamic behavior of the Adaptive Mechanism (AM), and in general, of the entire closed-loop control performance. To validate the effectiveness of the control design, a wide range of numerical experiments are carried out by using Matlab/Simulink. Finally, the developed control technique was implemented in a benchmark experimental platform. According to the experimental results, the proposed predictive control is suitable for real scenarios in the power electronics applications.}}, author = {{Ponce de León Puig, Nubia Ilia and Bozalakov, Dimitar and Acho, Leonardo and Vandevelde, Lieven and Rodellar, José}}, issn = {{0019-0578}}, journal = {{ISA TRANSACTIONS}}, keywords = {{DC-DC buck converter,Adaptive-predictive control,Hysteresis modulation,SLIDING-MODE CONTROL,POWER CONVERTERS,TOPOLOGIES,DESIGN}}, language = {{eng}}, pages = {{240--255}}, title = {{An adaptive-predictive control scheme with dynamic hysteresis modulation applied to a DC-DC buck converter}}, url = {{http://doi.org/10.1016/j.isatra.2020.05.015}}, volume = {{105}}, year = {{2020}}, }
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