Results 61 to 70 of about 183,065 (357)
Position-sensorless control of permanent-magnet-assisted synchronous reluctance motor [PDF]
The sensorless control of permanent-magnet-assisted synchronous reluctance (PMASR) motors is investigated, in order to conjugate the advantages of the sensorless control with full exploitation of the allowed operating area, for a given inverter.
Guglielmi, Paolo +3 more
core +1 more source
An Effective Model-Free Predictive Current Control for Synchronous Reluctance Motor Drives
The performances of a model predictive control algorithm largely depend on the knowledge of the system model. A model-free predictive control approach skips all the effects of parameters variations or mismatches, as well as of model nonlinearity and ...
P. Carlet +3 more
semanticscholar +1 more source
Objective Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centered care and informing local service pathways and care guidelines or standards.
Sonia Ranelli +8 more
wiley +1 more source
Comparison of a Reduced-Order Observer and a Full-Order Observer for Sensorless Synchronous Motor Drives [PDF]
Two back-electromotive-force (EMF)-based position observers are compared for motion-sensorless synchronous motor drives: the reduced-order observer and the adaptive full-order observer. A stabilizing gain is proposed for the adaptive full-order observer,
Harnefors, Lennart +3 more
core +1 more source
Objective Several case reports have proposed a potential association between COVID‐19 vaccination and the subsequent development of idiopathic inflammatory myositis (IIM). This study examined prior COVID‐19 vaccination in US Veterans who developed new‐onset IIM compared to those without new‐onset IIM.
Caleb Hernández +10 more
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Simulation of switched reluctance motor drives using two-dimensional bicubic spline [PDF]
Author name used in this publication: K. W. E. ChengAuthor name used in this publication: S. L.
Cheng, KWE, Ho, SL, Xue, X
core +1 more source
Materials and System Design for Self‐Decision Bioelectronic Systems
This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng +9 more
wiley +1 more source
xx xx. ABSTRACT Diabetic foot ulcer (DFU) is a chronic complication of diabetes, primarily caused by hyperglycemia, peripheral vascular disease, and neuropathy. Characterized by persistent hyperglycemia, impaired perfusion, inflammation, and infection, DFUs pose significant challenges to healing and are associated with high morbidity and amputation ...
Tang Yuqing +5 more
wiley +1 more source
Cost-Effective and High-Efficiency Variable-Speed Switched Reluctance Drives With Ring-Connected Winding Configuration [PDF]
This paper presents a novel converter topology for six-phase switched reluctance motor (SRM) drives, which reduces the number of switches and diodes by half, compared with the conventional asymmetric half-bridge converter, but needs no additional energy ...
Deng, Xu +4 more
core +2 more sources

