Results 71 to 80 of about 1,651 (266)

MRAS Observers for Sensorless Control of Doubly-Fed Induction Generators

open access: yesIEEE Transactions on Power Electronics, 2008
This paper addresses the analysis and performance of several model reference adaptive system (MRAS) observers for sensorless vector control of doubly-fed induction machines. Small signal models allow the formal analysis of the observers for a given dynamic.
Cardenas, Roberto   +4 more
openaire   +3 more sources

Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives

open access: yesAdvanced Materials, EarlyView.
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi   +4 more
wiley   +1 more source

n‐Type Polymer Radio Frequency Rectifiers Operating at 18.5 GHz

open access: yesAdvanced Materials, EarlyView.
Combining an n‐doped polymer semiconductor with wafer‐scale asymmetric planar electrodes featuring work function‐engineered contacts yields radio‐frequency diodes and rectifying circuits operating at up to 18.5 GHz. The devices combine scalable manufacturing with an operating frequency previously unattainable by large‐area organic electronics ...
Lazaros Panagiotidis   +19 more
wiley   +1 more source

A Neural Network Controller For The Direct Power Control Of Doubly Fed Induction Generator

open access: yesEletrônica de Potência, 2013
In this paper a direct power control strategy for a doubly-fed induction generator by using an artificial neural network controller with the multilayer perceptron structure is presented.
Rodrigo Andreoli de Marchi   +3 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

Controlador De Corrente Preditivo Contínuo Com Anti-Windup Aplicado A Um Sistema De Geração Eólico Baseado Em DFIG

open access: yesEletrônica de Potência, 2017
Este artigo apresenta uma nova estratégia de controle preditivo contínuo aplicado à malha de corrente elétrica do rotor de um sistema de geração eólico baseado no gerador de indução duplamente alimentado. O projeto do controlador é realizado a partir do
Samuel Vieira Dias   +4 more
doaj   +1 more source

Navigating Lipid Nanostructure Design Space Through Continuous Microfluidic Automation

open access: yesAdvanced Materials, EarlyView.
LipidXplorer is a novel microfluidic platform which enables rapid navigation of lipid particle design space for high‐resolution phase mapping, lipid nanoparticle optimization, membrane biophysics, and functional nanomaterial discovery. It combines programmable composition control, continuous nanoparticle formation, and automated well‐plate collection ...
Bradley Diggines   +10 more
wiley   +1 more source

Research on the Generating Efficiency Improvement of Doubly Fed Wind Turbines

open access: yesKongzhi Yu Xinxi Jishu, 2017
In order to improve the competitiveness of doubly fed wind turbines in low wind speed areas, it proposed a method to improve the generating efficiency of doubly fed wind turbines by shorting out the stator of doubly fed generator and making it work in ...
ZHAO Yanfeng   +4 more
doaj  

Home - About - Disclaimer - Privacy