Results 121 to 130 of about 454,587 (291)

Design and analysis of active disturbance rejection and field weakening control system for PMSM based on FCS-MPC

open access: yes机车电传动
The field weakening control system for permanent magnet synchronous motors (PMSM) is commonly used in the field of electric vehicles (EV). PMSMs need to deliver high torque output to meet the demands of rapid starting, acceleration, and climbing for EVs ...
YU Yuting   +3 more
doaj  

Research on active disturbance rejection control strategy of electric power steering system under extreme working conditions

open access: yesMeasurement + Control
In response to the influence of motor interference, damping, friction, and other uncertain factors on the operation of electric power steering systems under extreme working conditions, this study proposes a control strategy for electric power steering ...
Zhu’An Zheng, JinCheng Wei
doaj   +1 more source

Flexible Sensors for Robotics Tactile Perception: A Review

open access: yesAdvanced Robotics Research, EarlyView.
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley   +1 more source

Convergence rate sliding mode control of permanent magnet synchronous motor based on expanded sliding mode observer

open access: yesJournal of Engineering and Applied Science
The aim is to address the limitations of conventional sliding mode control for PMSM, namely the problems of sliding mode oscillation, load disturbance, and poor control accuracy. An improved sliding mode control strategy for PMSM is proposed based on the
Li Tian   +3 more
doaj   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

open access: yesAdvanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale   +6 more
wiley   +1 more source

Periodic Disturbance Rejection of a PMSM with Adaptive Control Algorithms [PDF]

open access: yes, 2011
Sebastian Maier   +5 more
core   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

open access: yesAdvanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su   +13 more
wiley   +1 more source

Load Disturbance Torque Estimation for Motor Drive Systems with Application to Electric Power Steering System [PDF]

open access: yes, 2009
Motors are widely used in industries due to its ability to provide high mechanical power in speed and torque applications. Its flexibility to control and quick response are other reasons for its widespread use.
Cholakkal, Smitha
core   +1 more source

Development and Optimization of the Build-in Torque Sensor for Harmonic Drive

open access: yes, 2015
The development of human-robot cooperation and the demand of high-precision robot control have increasingly spurred the usage of joint torque sensors. A build-in torque sensor for harmonic drive is researched in this paper, which utilizes strain gauges ...
Cui L(崔龙)   +7 more
core   +1 more source

Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami

open access: yesAdvanced Science, EarlyView.
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning   +3 more
wiley   +1 more source

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