Results 41 to 50 of about 28,429 (228)

Review of speed estimation algorithms for three- phase induction motor

MethodsX
In the field of evolving industrial automation, there is a growing need for refined sensorless speed estimation techniques for induction drives to cater the demands of various applications.
Z.M.S. Elbarbary, O.K. Al-Harbi, Saad F. Al-Gahtani, Shaik M. Irshad, Almoataz Y. Abdelaziz, Mahmoud A. Mossa   +5 more
doaj   +1 more source

Sensorless Position Estimation for Permanent Magnet Synchronous Linear Motor With Variable Coupling Length

IEEE Access, 2022
Affected by the structure size of a permanent magnet synchronous linear motor, the coupling length of the mover and stator will change when the relative motion occurs.
Luhong Zhang, Bingran Li, Peiqing Ye, Chunlei Zhang, Hui Zhang   +4 more
doaj   +1 more source

Application of Sensorless Control Technology of Permanent Magnet Synchronous Motor in Tianjin Metro

机车电传动, 2020
The necessity of sensorless control technology of permanent magnet traction system in the field of rail transit was introduced, the position estimation method based on the electromagnetic relation of permanent magnet motor was summarized, and the ...
Xingxiang ZHOU
doaj  

Permanent-Magnet Synchronous Motor Sensorless Control Using Proportional-Integral Linear Observer with Virtual Variables: A Comparative Study with a Sliding Mode Observer

Energies, 2019
Quick convergence, simple implementation, and accurate estimation are essential features of realizing permanent-magnet synchronous motor (PMSM) position estimation for sensorless control using microcontrollers. A linear observer is often designed on real
Baochao Wang, Yangrui Wang, Liguo Feng, Shanlin Jiang, Qian Wang, Jianhui Hu   +5 more
doaj   +1 more source

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

Sensorless Pose Determination Using Randomized Action Sequences [PDF]

Entropy, 2019
This paper is a study of 2D manipulation without sensing and planning, by exploring the effects of unplanned randomized action sequences on 2D object pose uncertainty. Our approach follows the work of Erdmann and Mason’s sensorless reorienting of an object into a completely determined pose, regardless of its initial pose.
Pragna Mannam, Alexander Volkov, Robert Paolini, Gregory Chirikjian, Matthew T. Mason   +4 more
openaire   +4 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

Extended Back-EMF Based Industrial Sensorless Drive System for PMSMs

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2021
Field oriented control (FOC) of Permanent Magnet Synchronous Motors (PMSM) is utilized in many industrial applications due to its high performance. Semiconductor manufacturers provide specialized solutions and tools for this technique.
Burak Gördük, Murat Yilmaz
doaj   +1 more source

Self-Commissioning of Inverter Nonlinear Effects in AC Drives [PDF]

, 2012
The paper presents a novel technique for an accurate identification of the inverter nonlinear effects, such as the dead-time and on-state voltage drops. The proposed technique is very simple and it is based only on a current control scheme.
Armando, Eric Giacomo, Bojoi, R., Pellegrino, Gian-Mario Luigi, Rosu, S.G.   +3 more
core   +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