Results 51 to 60 of about 76,706 (277)

Cross‐modal predictive oculomotor control: visually acquired prediction transfers to vestibular‐driven eye movements

The Journal of Physiology, EarlyView.
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, Dilek Funda Kurtuluş, Imil Hamda Imran, Taiba Kouser, Abdulrahman Aliyu, Luai M. Alhems, Azhar M. Memon   +6 more
wiley   +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

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, Vendoti Suresh, B. Krishnaveni, Ravindra S., Venkateshmurthy B. S., M. Satyanarayana Gupta, K. Aravinda, M. J. D. Ebinezer, S. Prabhakar   +8 more
wiley   +1 more source

A Novel Deep Transfer Learning‐based Adaptive Cascade PI Controller Enhanced by Reinforcement Learning Algorithm and Snake Optimization for Robust Speed Regulation of Brushless DC Motors

IET Power Electronics, Volume 19, Issue 1, January/December 2026.
This paper introduces a novel snake optimization‐assisted deep transfer learning‐based reinforcement learning (SOA‐DTL‐RL)‐based adaptive cascade PI controller that uniquely integrates transfer learning for rapid adaptation, reinforcement learning for real‐time optimization, and snake optimization for optimal initial gain selection, ensuring robust ...
SeyyedMorteza Ghamari, Asma Aziz
wiley   +1 more source

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, Hongzhi Wang, Huangshui Hu, Xiaofan Lu, Siyuan Zhao   +4 more
doaj   +1 more source

Feature Ranking and Differential Evolution for Feature Selection in Brushless DC Motor Fault Diagnosis [PDF]

, 2021
Chun‐Yao Lee, Chen-Hsu Hung
openalex   +1 more source

Real‐Time Implementation of Finite Control Set Model Predictive Control for BLDC Motors With Dynamic Speed References on ESP32

IET Power Electronics, Volume 19, Issue 1, January/December 2026.
This paper investigates the application of Finite Control Set Model Predictive Control (FCS‐MPC) for Brushless DC (BLDC) motor speed regulation under dynamic references, including sinusoidal, square, triangular, and sawtooth signals. A novel cost function is introduced to evaluate switching frequency effects, and the influence of different weighting ...
Ahmad Entezari, Arash Dehestani Kolagar, Mohammad Reza Alizadeh Pahlavani   +2 more
wiley   +1 more source

Determination of modeling parameters for a brushless DC motor that satisfies the power performance of an electric vehicle

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, F. Lei, Xu Han, Zhiyong Zhang   +3 more
semanticscholar   +1 more source

Establishment and Analysis of Radiation Interference Prediction Model for Permanent Magnet Servo Drive System

IET Power Electronics, Volume 19, Issue 1, January/December 2026.
This paper proposes a modelling method based on multi‐software co‐simulation to precisely model radiated interference in permanent magnet servo drive systems. The accuracy of the simulation model is validated through comparison with actual measurement results. ABSTRACT High‐frequency switching operations of power switching tubes generate high‐frequency
Jingxuan He, Lijuan Zhang, Feifei Bu, Yajun Zhao, Shiliang Miao, Jiangong Yang, Haihong Qin, Panru Yang   +7 more
wiley   +1 more source