An Accurate Digital Inductor Current Sensor for Current-Ripple-Based DC-DC Converters

Xie, Yiyang; Adrian, Victor; Tay, Sun-Yang; Lee, Jinhen; Chan, P.K.; Chang, Joseph S.

doi:10.1109/iscas46773.2023.10181635

2023 IEEE International Symposium on Circuits and Systems (ISCAS) 2023

DOI: 10.1109/iscas46773.2023.10181635

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An Accurate Digital Inductor Current Sensor for Current-Ripple-Based DC-DC Converters

Yiyang Xie

Victor Adrian

Sun-Yang Tay

et al.

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2024

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Computational and dynamic performance of NN-based control in wind energy systems

Belkasem,

Kaoutar,

Brahim

et al. 2024

ITM Web Conf.

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In modern power grids, the integration of renewable energy sources such as wind power is crucial to achieving sustainable energy goals. However, the intermittent nature of renewable energy generation creates grid stability issues, particularly with the stabilization of the DC link voltage in systems using Permanent Magnet Synchronous Generators (PMSGs). This paper investigates the effectiveness of a boost converter combined with Neural Network Control (NNC) trained by Sliding Mode Control (SMC) in managing voltage fluctuations. To achieve this, we implement both control strategies on a LAUNCHXL-F28069M DSP board using Processor-In-the-Loop (PIL) techniques, enabling a direct comparison of their dynamic and computational performance. While NNC-based control shows superior adaptability and responsiveness, it consumes more computational resources than SMC, particularly in terms of execution time and power consumption. This study provides an overview of the trade-offs between resource consumption and performance, offering a clearer understanding of control strategies for optimizing renewable energy management in embedded systems.

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Computational and dynamic performance of NN-based control in wind energy systems

Belkasem,

Kaoutar,

Brahim

et al. 2024

ITM Web Conf.

View full text Add to dashboard Cite

show abstract

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An Accurate Digital Inductor Current Sensor for Current-Ripple-Based DC-DC Converters

Cited by 1 publication

References 8 publications

Computational and dynamic performance of NN-based control in wind energy systems

Computational and dynamic performance of NN-based control in wind energy systems

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