Utilizing Deep Learning Techniques to Eliminate the Current Sensor in a Boost Converter Used in a DC Nano-Grid-Reference-Cited by-同舟云学术

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Utilizing Deep Learning Techniques to Eliminate the Current Sensor in a Boost Converter Used in a DC Nano-Grid

Published:2024-06-27 Issue: Volume: Page:241-246
ISSN:
Container-title:2024 31st International Conference on Mixed Design of Integrated Circuits and System (MIXDES)
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Author:

Azeri Behzad¹,Javanmardi Karwan²,Sofimowloodi Sobhan³,Attar Amir²,Amini Abdollah⁴

Affiliation:

1. Jade University of Applied Sciences,Wilhelmshaven,Germany

2. Roj Diyar Nano Electro System Technical and Engineering Company,Department of Electrical Engineering,Bukan,Iran

3. Amirkabir University of Technology (Tehran Polytechnic),Department of Electrical Engineering,Tehran,Iran

4. University of Pavia,Department of Electrical, Computer, and Biomedical Engineering,Pavia,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10613861/10613931/10613968.pdf?arnumber=10613968

Reference12 articles.

1. Fast and robust voltage control of DC–DC boost converter by using fast terminal sliding mode controller

2. Boost Converter implementation for Wind Generation System based on a variable speed PMSG

3. Switched-Capacitor Voltage Boost Converter for Electric and Hybrid Electric Vehicle Drives

4. Performance Optimization of Grid-Interactive Switched Reluctance Motor-Driven SPWPS Utilizing a New Structure of Boost Converter

5. A novel adaptive output feedback control for DC–DC boost converter using immersion and invariance observer

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