JEOLLANAM-DO PROVINCE, South Korea, Dec. 18, 2025 /PRNewswire/ — Single-phase power factor correction (PFC) circuits—a kind of front-end AC/DC converters—are ubiquitousJEOLLANAM-DO PROVINCE, South Korea, Dec. 18, 2025 /PRNewswire/ — Single-phase power factor correction (PFC) circuits—a kind of front-end AC/DC converters—are ubiquitous

Chonnam National University Researchers Propose Innovative Voltage-Loop Control for Power Factor Correction

JEOLLANAM-DO PROVINCE, South Korea, Dec. 18, 2025 /PRNewswire/ — Single-phase power factor correction (PFC) circuits—a kind of front-end AC/DC converters—are ubiquitous in a variety of consumer electronic devices, including laptop adapters, LED driver power supplies, and portable chargers. They enhance the current quality drawn from the source, delivering stable DC voltage with high efficiency.

However, current sensors in traditional boost PFC converters introduce issues such as noise susceptibility, signal delays, increased hardware complexity, and potential sensor failures that can degrade system reliability and lifespan. By eliminating current sensors, the proposed sensorless strategy reduces these risks, improves noise immunity, and decreases hardware failure points, leading to enhanced reliability and potentially longer-lasting power adapters and consumer electronics.

In a remarkable breakthrough achievement, a team of researchers from South Korea and China, led by Sung-Jun Park, a Professor from the Department of Electrical Engineering at Chonnam National University, has successfully demonstrated a new control method that eliminates the need for a current sensor. Their findings were made available online and have been published in the journal IEEE Transactions on Consumer Electronics on 30 September 2025.

In this study, the team proposes a simple and reliable single voltage loop current sensorless PFC control strategy. They derive the expression for the duty cycle—which consists of a feedforward component and a control component—by leveraging the fundamental equation of inductor voltage. Notably, delay compensation helps mitigate the effect of phase delay on input current distortion in the proposed control strategy.

“In this way, we specifically identified and solved a common issue in digital control systems: phase delay caused by signal processing. This delay distorts the input current. Our built-in compensation technique effectively counteracts this, which is a key reason for our method’s high-power quality,” remarks Prof. Park.

The novel technology eliminates complex observers and mathematical models, resulting in lower component cost, simpler circuit design, and a smaller size. This reduces maintenance by minimizing parts prone to wear or recalibration, enhancing long-term efficiency compared to sensor-based solutions. Additionally, its low sensitivity to circuit parameter variations ensures reliability and suitability for mass production, allowing manufacturers to easily integrate the control strategy into existing production lines using standard digital signal processors without major redesign or added inventory.

This technology suits AC/DC power supplies in consumer electronics, validated on a 1.3 kW prototype achieving near-unity power factor (up to 0.9998) and low total harmonic distortion (THD) (2.12% at full load)—matching or exceeding sensor-based methods. By eliminating sensors and components, it enables smaller, cost-effective designs. Prof. Park explains, “By simplifying the power circuitry and reducing component count, chargers and power adapters for everything from laptops to kitchen appliances can become more compact and portable. As millions of electronic devices draw cleaner, sinusoidal current—with high power factor and low THD—from the wall socket, it reduces stress on the power grid. Lastly, cheaper and more reliable power supplies could mean lower upfront costs for consumers, furthering electric vehicles and renewable energy systems.”

Reference
Title of original paper: A Simple Current Sensorless Control Method for Boost PFC
Journal: IEEE Transactions on Consumer Electronics
DOI: 10.1109/TCE.2025.3615203

About the institute
https://global.jnu.ac.kr/jnumain_en.aspx

Media Contact:
Minji Son
82-62-530-5191
406532@email4pr.com

Cision View original content to download multimedia:https://www.prnewswire.com/news-releases/chonnam-national-university-researchers-propose-innovative-voltage-loop-control-for-power-factor-correction-302646127.html

SOURCE Chonnam National University

Market Opportunity
LoopNetwork Logo
LoopNetwork Price(LOOP)
$0.00981
$0.00981$0.00981
-1.50%
USD
LoopNetwork (LOOP) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Unleashing A New Era Of Seller Empowerment

Unleashing A New Era Of Seller Empowerment

The post Unleashing A New Era Of Seller Empowerment appeared on BitcoinEthereumNews.com. Amazon AI Agent: Unleashing A New Era Of Seller Empowerment Skip to content Home AI News Amazon AI Agent: Unleashing a New Era of Seller Empowerment Source: https://bitcoinworld.co.in/amazon-ai-seller-tools/
Share
BitcoinEthereumNews2025/09/18 00:10
CME Group to launch Solana and XRP futures options in October

CME Group to launch Solana and XRP futures options in October

The post CME Group to launch Solana and XRP futures options in October appeared on BitcoinEthereumNews.com. CME Group is preparing to launch options on SOL and XRP futures next month, giving traders new ways to manage exposure to the two assets.  The contracts are set to go live on October 13, pending regulatory approval, and will come in both standard and micro sizes with expiries offered daily, monthly and quarterly. The new listings mark a major step for CME, which first brought bitcoin futures to market in 2017 and added ether contracts in 2021. Solana and XRP futures have quickly gained traction since their debut earlier this year. CME says more than 540,000 Solana contracts (worth about $22.3 billion), and 370,000 XRP contracts (worth $16.2 billion), have already been traded. Both products hit record trading activity and open interest in August. Market makers including Cumberland and FalconX plan to support the new contracts, arguing that institutional investors want hedging tools beyond bitcoin and ether. CME’s move also highlights the growing demand for regulated ways to access a broader set of digital assets. The launch, which still needs the green light from regulators, follows the end of XRP’s years-long legal fight with the US Securities and Exchange Commission. A federal court ruling in 2023 found that institutional sales of XRP violated securities laws, but programmatic exchange sales did not. The case officially closed in August 2025 after Ripple agreed to pay a $125 million fine, removing one of the biggest uncertainties hanging over the token. This is a developing story. This article was generated with the assistance of AI and reviewed by editor Jeffrey Albus before publication. Get the news in your inbox. Explore Blockworks newsletters: Source: https://blockworks.co/news/cme-group-solana-xrp-futures
Share
BitcoinEthereumNews2025/09/17 23:55
The Impact of Artificial Intelligence on Market Efficiency

The Impact of Artificial Intelligence on Market Efficiency

The integration of Artificial Intelligence (AI) into trading platforms has fundamentally reshaped how institutions operate. Traditional trading systems rely mainly on human decisions and the use of archaic systems. In contrast, AI-driven trading platforms use advanced machine learning models and big data analytics to identify patterns, predict price movements, and execute trades automatically.
Share
Hackernoon2025/09/23 23:52