Results 41 to 50 of about 8,400 (312)
Self‐Sensing Artificial‐Muscle‐Empowered Humanlike Perception, Interaction, and Positioning
The proposed self‐sensorized artificial muscle (SSAM) can sense its length change as small as 0.01 mm via a seamlessly integrated multi‐segment induction coil. The SSAM provides accurate length information regardless of its loadings, driving pressure, or muscle design, adequate for robust data‐driven feedback control.
Houping Wu +6 more
wiley +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Calculation of Magnetic Losses with Non-Uniform Distribution of Magnetic Induction in the Stator Tooth of a Switched Reluctance Motor [PDF]
The aim of this study is to investigate and determine the effect of accounting for the non-uniform distribution of magnetic induction (by detailing the stator tooth model) on the calculation results of magnetic losses in the stator teeth of a switched ...
Bibik O.V. +4 more
doaj +1 more source
Performance Optimization in Switched Reluctance Motor Drives [PDF]
In this paper, switched reluctance motors (SRM) are proposed as an alternative for electric power assisted steering (EPAS) applications. A prototype machine has been developed as very attractive design for a steering electric motor, both from a cost and size perspective. A four-phase 8/6 SRM drive is designed for a rack type EPAS which should provide a
Morón Fernández, Carlos +4 more
openaire +2 more sources
Abstract This study analyzes a participatory project to develop peer support services for people with serious mental illnesses (SMIs) in China. Drawing on interviews with psychiatrists, social workers, service users, and a family caregiver, it examines the conditions, challenges, facilitators, and outcomes of participation in a paternalistic context ...
Zhiying Ma +6 more
wiley +1 more source
Optimal current waveforms for switched-reluctance motors [PDF]
In this paper, we address the problem of finding current waveforms for a switched reluctance motor that minimize a user-defined combination of torque ripple and RMS current. The motor model we use is fairly general, and includes magnetic saturation, voltage and current limits, and highly coupled magnetics (and therefore, unconventional geometries and ...
Moehle, Nicholas, Boyd, Stephen
openaire +2 more sources
Flux-linkage characteristics of switched reluctance motor [PDF]
An important requirement in the modelling of switched reluctance motors (SRM) is the knowledge of their flux-linkage characteristics. Idealisation of the flux-linkage characteristics will result in a model which cannot predict the performance of the machine with sufficient accuracy. It is necessary therefore to determine flux-linkage characteristics as
Ramanarayanan, V +2 more
openaire +2 more sources
The double salient pole structure of Switched Reluctance Motor (SRM) makes its electromagnetic field exist nonlinear saturation characteristics, resulting in its large torque pulsation in operation, so it is difficult to achieve speed regulation ...
Huixiu Li +3 more
doaj +1 more source
Analysis and Design of a Speed Controller for Switched Reluctance Motor Drive
This paper presents a high precision speed control of the reluctance machine for electric drive applications. To get high resolution speed control, it is developed a cascade control algorithm based on linear control technique. The controller was designed
Manuel Pereira, Rui Esteves Araújo
doaj +1 more source
Adaptive neuro-fuzzy controller of switched reluctance motor [PDF]
This paper presents an application of adaptive neuro-fuzzy (ANFIS) control for switched reluctance motor (SRM) speed. The ANFIS has the advantages of expert knowledge of the fuzzy inference system and the learning capability of neural networks.
Tahour Ahmed +2 more
doaj +1 more source

