Results 71 to 80 of about 95,793 (271)
An adaptive fuzzy PID controller for speed control of brushless direct current motor
SN Applied Sciences, 2022 Aiming at the problems of the poor adaptive ability in the current control methods for brushless DC motor, an adaptive fuzzy proportional integral derivative controller (AFPID) is proposed to realize the better control performance of speed for brushless ...
Tingting Wang +4 more
doaj +1 more source
Energy regeneration technique for electric vehicles driven by a brushless DC motor
IET Power Electronics, 2019 The development of energy regeneration capability in electric vehicles can extend their driving range making them a competent alternative for conventional internal combustion engine vehicles. In this study, a novel energy regeneration technique, called a
M. Bahrami, H. Mokhtari, Amin Dindar
semanticscholar +1 more source
Three-phase modular permanent magnet brushless machine for torque boosting on a downsized ICE vehicle [PDF]
, 2005 The paper describes a relatively new topology of 3-phase permanent magnet (PM) brushless machine, which offers a number of significant advantages over conventional PM brushless machines for automotive applications, such as electrical torque boosting at ...
Howe, D., Wang, J.B., Xia, Z.P.
core +1 more source
Dispersion Inhibits Thermal Mitigation of Pseudomonas aeruginosa Biofilms on Self‐Heating Surfaces
MicrobiologyOpen, Volume 15, Issue 2, April 2026.Thermal mitigation of biofilm infections is promising in the lab. Clinical translation requires heat to be delivered from the implant surface while leaving surrounding tissue cooler. This study shows that bacteria may rapidly and reversibly disperse into these cooler areas, reducing treatment efficacy.
Parham Parnian +5 more
wiley +1 more source
Analysis of a Novel Brushless Doubly Fed Reluctance Generator Based Wind Energy Conversion System
Energy Science &Engineering, Volume 14, Issue 3, Page 1226-1240, March 2026.BDFRG based grid connected wind energy conversion system. ABSTRACT This paper presents a grid connected Brushless Doubly‐Fed Reluctance Generator (BDFRG) based wind energy conversion system. It offers a reliable and cost‐effective solution since its brushless and cage‐less rotor structure eliminates the need for slip rings, reducing maintenance costs ...
Subir Datta +6 more
wiley +1 more source
The Journal of Physiology, Volume 604, Issue 3, Page 1353-1372, 1 February 2026.Abstract figure legend Schematic illustrating that visually driven optokinetic responses (OKR) and vestibularly driven vestibulo‐ocular reflexes (VOR) share a common timing mechanism composed of the cerebellum and the velocity storage mechanism (VSM). Predictive OKR (pOKR), characterized by predictive deceleration (brown arrow)—a gradual slowing of eye
Toshimi Yamanaka, Yutaka Hirata
wiley +1 more source
Experimental Evaluation of Electric Powertrain System for Unmanned Aerial Vehicles
Engineering Reports, Volume 8, Issue 1, January 2026.Electric Powertrain Performance Metrics and Selection Workflow for UAVs. ABSTRACT With the growing use of unmanned aerial vehicles (UAVs) in both civil and military applications, optimizing electric powertrain systems is essential to enhance endurance, efficiency (η$$ \eta $$), and mission adaptability.
Srikanth Goli +6 more
wiley +1 more source
Integral inversion fuzzy sliding mode control of brushless DC motor
Gong-kuang zidonghua, 2014 In view of problem that general control strategies of brushless DC motor are difficult to achieve desired effect affected by motor itself, the paper introduced a controller combined with integral inversion adaptive sliding mode variable structure control
LIU Huibo, LI Zhaoyang
doaj +1 more source
Measurement and control (London. 1968), 2019 The analysis and control of powertrain systems of electric vehicle, which is an important type of new energy vehicle, have been the focus of extensive research, but determining the motor modeling parameters remains a problem.
Caixia Huang +3 more
semanticscholar +1 more source
Enhancing Hybrid Microgrid Dynamics Using an Agent‐Based Reinforcement Learning (RL) Framework
Energy Science &Engineering, Volume 14, Issue 1, Page 144-162, January 2026.Overview of (RL) framework ABSTRACT Hybrid microgrids, integrating renewable, and conventional energy sources are critical for sustainable and resilient power systems. Their dynamic performance is affected by uncertainties in load demand, generation variability, and control strategies.
Sudhakiran Ponnuru +8 more
wiley +1 more source