Results 61 to 70 of about 1,213 (209)
Triboelectric Nanogenerators for Condition Monitoring of Machines, Infrastructure and Environment
Interdisciplinary Materials, Volume 4, Issue 5, Page 645-685, September 2025.This paper reviews cutting‐edge technologies in condition monitoring on the applications of machines, infrastructure and environment (MIE) based on TENGs, including mechanisms, applications and perspectives. The most popular and hot research trends are pointed out and the current challenges are also illustrated, thus giving hints for future research ...
Mang Gao +6 more
wiley +1 more source
Engineering Reports, Volume 7, Issue 7, July 2025.The research proposes a variable‐speed fixed‐displacement pump control strategy combined with a fuzzy PID algorithm. A co‐simulation model is developed, key parameters are set, and comparative energy consumption analyses are conducted between the variable‐speed fixed‐displacement pump and the fixed‐speed variable‐displacement pump through simulation ...
Qiaohong Ming, Yangyang Wang
wiley +1 more source
Blowing away drag for maglev trains
Scilight, 2023 Simulation identifies how air-blowing can reduce drag on high-speed trains and reduce required energy.
openaire +1 more source
Levitation Stability and Hopf Bifurcation of EMS Maglev Trains
Mathematical Problems in Engineering, 2020 This paper analyzed the mechanical characteristics of single electromagnet system and elastic track beam of EMS maglev train and established a five-dimensional dynamics model of single electromagnet-track beam coupled system with classical PD control strategy adopted for its levitation system.
Junxiong Hu +3 more
openaire +1 more source
Maglev train levitation control via tracking differentiator with small phase lag
IET Control Theory &Applications, Volume 19, Issue 1, January/December 2025.This work proposes an enhanced tracking differentiator to ensure a small phase lag in both filtering and differential signals, The favourable characteristic is obtained by including the system damping and the amplitude factor into the control algorithm that is applied to construct the differentiator. Abstract The levitation control system is a critical
Louyue Zhang +3 more
wiley +1 more source
IET Electric Power Applications, Volume 19, Issue 1, January/December 2025.With the consideration of the DC‐link voltage fluctuation, the motor output torque contains a large number of fluctuating components, which may trigger electromechanical coupling resonance (EMCR) and deteriorate the system control performance. In order to solve this problem, the model of the electromechanical coupled system is established, and the ...
Junwen Mu +3 more
wiley +1 more source
Electromagnetic Operation Environment Analysis of Middle-low-speed Maglev Train
, 2012 With electromagnetic finite element method, leakage magnetic field distribution of electromagnets and linear traction motor was simulated and calculated, the results of which were compared to test reports of electromagnetic radiation field of CMS04 ...
QI Hong-feng
core +1 more source
, 2023 High-temperature Superconducting (HTS) maglev trains are vulnerable to the effects of crosswinds when operating at high speeds in open-air conditions, potentially compromising riding comfort and safety.
Zongpeng Li +5 more
core +1 more source
Research on the Active Guidance Control System in High Speed Maglev Train
IEEE Access, 2019 The guidance system is one of the important subsystems of high-speed maglev train. The active guidance of high-speed maglev train is achieved by the attraction between the guide way and the electromagnets mounted on the side of the carriage.
Mingda Zhai +3 more
doaj +1 more source
IMPLEMENTATION MODEL OF MOTOR TRACTION FORCE OF MAGLEV TRAIN
Science and Transport Progress, 2016 Purpose. Traction force implementation (TFI) by the motor of magnetic levitation train (MLT) occurs in the process of electric-to-kinetic energy transformation at interaction of inductor and armature magnetic fields. Ac-cordingly, the aim of this study is to obtain a correct description of such energy transformation. Methodology.
V. O. Polyakov, M. M. Khachapuridze
openaire +4 more sources