Results 51 to 60 of about 17,161,903 (271)

Discussion on "AC Drive Observability Analysis" [PDF]

, 2015
In the paper by Vaclavek et al. (IEEE Trans. Ind. Electron., vol. 60, no. 8, pp. 3047-3059, Aug. 2013), the local observability of both induction machine and permanent-magnet synchronous machine (PMSM) under motion-sensorless operation is studied.
Duc, Gilles, Koteich, Mohamad, Maloum, Abdelmalek, Sandou, Guillaume   +3 more
core   +3 more sources

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Switched PI Control Based MRAS for Sensorless Control of PMSM Drives Using Fuzzy-Logic-Controller

IEEE Open Journal of Power Electronics, 2022
With the use of sensorless control strategy, mechanical position sensors can be removed from the gearbox, so as to decrease the maintenance costs and enhance the system robustness.
Zhao-Hua Liu, Jie Nie, Hua-Liang Wei, Lei Chen, Xiao-Hua Li, Ming-Yang Lv   +5 more
doaj   +1 more source

Machine Learning‐Driven Digital Twin of a Field‐Effect Transistor‐Based Hormone Biosensor for Real‐Time Estradiol Monitoring

Advanced Intelligent Systems, EarlyView.
A machine learning‐driven digital twin simulates an aptamer‐functionalized BioFET measuring 17β‐estradiol. Real‐time Isd signals are processed, features are extracted, and trained models estimate hormone concentration. In parallel, a one‐step‐ahead forward model learns biosensor dynamics and generates realistic synthetic signals, enabling in silico ...
Anastasiia Gorelova, Alexandra Parichenko, Shirong Huang, Santiago Melia, Gianaurelio Cuniberti   +4 more
wiley   +1 more source

Enhanced Sensorless Control of Switched Reluctance Motors Using Inertial Phase-locked Loop for Extended Speed Range

CES Transactions on Electrical Machines and Systems
Sensorless control of switched reluctance motors (SRMs) often requires a hybrid mode combining low-speed pulse injection methods and high-speed model-based estimation. However, pulse injection causes unwanted audible noises and torque ripples.
Zifeng Chen, Xijian Lin, Huayu Ji, Zehua Li, Hang Zhao, Dianxun Xiao   +5 more
doaj   +1 more source

Extended Sliding Mode Disturbance Observer-Based Sensorless Control of IPMSM for Medium and High-Speed Range Considering Railway Application

IEEE Access, 2019
The sliding mode observer (SMO)-based approach known for its robustness towards parameter variation (external disturbance) has been used for the sensorless motor drive system.
Abebe Teklu Woldegiorgis, Xinglai Ge, Songtao Li, Mannan Hassan   +3 more
doaj   +1 more source

A novel FPGA‐Based Bi input‐reduced order extended Kalman filter for speed‐sensorless direct torque control of induction motor with constant switching frequency controller

IET Computers & Digital Techniques, 2021
This study proposes an FPGA‐based hardware in the loop (HIL) emulator for speed‐sensorless of induction motor (IM) constant switching frequency controller‐based direct torque control (CSFC‐DTC) with a novel bi input‐reduced order extended Kalman filter ...
Remzi Inan
doaj   +1 more source

Are seizure forecasts and cycles better than chance? What chance?

Epilepsia, EarlyView.
Abstract Objective There is a growing synergy between the lines of research on cycles in epilepsy and seizure forecasting. It has been conjectured, for instance, that incorporating information about significant seizure cycles into forecasting algorithms can lead to a better‐than‐chance forecasting performance.
Ralph G. Andrzejak, Martin Brešar, Mark P. Richardson, Pedro F. Viana, Richard Rosch   +4 more
wiley   +1 more source

Sensorless control of IPMSM for last 10 years and next 5 years

CES Transactions on Electrical Machines and Systems, 2017
This paper presents the developments of sensorless control of interior permanent magnet synchronous machine (IPMSM) for last 10 years, which could be divided into the past and the present for each 5 years.
Seung-Ki Sul, Yong-Cheol Kwon, Younggi Lee   +2 more
doaj   +1 more source

Euler-Lagrange models with complex currents of three-phase electrical machines and observability issues [PDF]

, 2009
A new Lagrangian formulation with complex currents is developed and yields a direct and simple method for modeling three-phase permanent-magnet and induction machines. The Lagrangian is the sum a mechanical one and of a magnetic one.
Basic, Duro, Malrait, Francois, Rouchon, Pierre   +2 more
core   +3 more sources