An artificial intelligence approach for real-time tuning of weighting factors in FCS-MPC for power converters
In this article a finite control set model predictive control, is used to track a current reference
in a power converter connected to an load. An artificial intelligence approach is presented …
in a power converter connected to an load. An artificial intelligence approach is presented …
A deep learning-based modeling of a 270 V-to-28 V DC-DC converter used in more electric aircrafts
G Rojas-Duenas, JR Riba… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article presents a novel approach for black-box modeling of 270 V-to-28 V dc–dc step-
down converters used in more electric aircrafts. These converters normally feed constant …
down converters used in more electric aircrafts. These converters normally feed constant …
Machine learning based transient stability emulation and dynamic system equivalencing of large-scale AC-DC grids for faster-than-real-time digital twin
Modern power systems have been expanding significantly including the integration of high
voltage direct current (HVDC) systems, bringing a tremendous computational challenge to …
voltage direct current (HVDC) systems, bringing a tremendous computational challenge to …
Hybrid ML-EMT-based digital twin for device-level HIL real-time emulation of ship-board microgrid on FPGA
Maritime industries desire high speed and reliability, low lifespan cost, and environmental
impact shipping for transportation. Compared to highly congested land shipments and high …
impact shipping for transportation. Compared to highly congested land shipments and high …
Temporal Modeling for Power Converters With Physics-in-Architecture Recurrent Neural Network
Existing time-series data-driven approaches for converter modeling are data-intensive,
uninterpretable, and lack out-of-domain extrapolation capability. Recent physics-informed …
uninterpretable, and lack out-of-domain extrapolation capability. Recent physics-informed …
Real-time ML-assisted hardware-in-the-loop electro-thermal emulation of LVDC microgrid on the international space station
For being the world's largest low voltage direct current (LVDC) microgrid (MG) in space, the
power generation and distribution systems aboard the International Space Station (ISS) …
power generation and distribution systems aboard the International Space Station (ISS) …
Machine learning based modeling for real-time inferencer-in-the-loop hardware emulation of high-speed rail microgrid
The application of artificial intelligence (AI) technology in the field of power systems and
power electronic devices is increasingly prevalent. With massive datasets generated by a …
power electronic devices is increasingly prevalent. With massive datasets generated by a …
Modeling of deadtime events in power converters with half-bridge modules for a highly accurate hardware-in-the-loop fixed point implementation in fpga
R Saralegui, A Sanchez, A de Castro - Applied Sciences, 2021 - mdpi.com
Hardware-in-the-loop (HIL) simulations of power converters must achieve a truthful
representation in real time with simulation steps on the order of microseconds or tens of …
representation in real time with simulation steps on the order of microseconds or tens of …
Real-time nonlinear behavioral electrothermal device-level emulation of IGBT on heterogeneous adaptive compute acceleration platform
Power converter design evaluation by means of real-time simulation techniques is prevalent,
although it is mostly restricted to simple power semiconductor switch models that exclude …
although it is mostly restricted to simple power semiconductor switch models that exclude …
Data-Light Physics-Informed Modeling for the Modulation Optimization of a Dual-Active-Bridge Converter
In modulation optimization, power converter modeling is pivotal for performance evaluation.
However, mainstream knowledge-based approaches suffer from low accuracy and heavy …
However, mainstream knowledge-based approaches suffer from low accuracy and heavy …