Results 111 to 120 of about 676 (182)

Design of Control Based on Adaptive Artificial Neural Network

open access: yes, 2012
提出了一种自适应人工神经网络无刷直流电动机(bldCM)转速控制器设计方法;针对传统PId调节器难以应对系统超调和短时振荡等问题,提出了一种结合人工神经网络和传统PId控制的新方法;首先建立了(bldCM)的本体数学模型,在此基础上描述了将人工神经网络和PId控制相结合的模型,并对具体的控制算法进行了定义;最后,使用MATlAb仿真工具对bldCM控制实例进行了仿真;实验结果表明,结合人工神经网络和PId控制器的新控制方法具有响应快、鲁棒性强以及控制精度高等优点,很好地抑制了超调和振荡。A design
瞿小宁, 李绍滋
core  

KONTROL TORSI MOTOR DC BRUSHLESS PENGGERAK HYBRID ELECTRIC VEHICLE MENGGUNAKAN PREDICTIVE DIRECT TORQUE CONTROL [PDF]

open access: yes, 2017
Hybrid Electric Vehicle (HEV) merupakan kendaraan dengan dua sumber tenaga penggerak yaitu Internal Combustion Engine (ICE) sebagai penggerak primer dan Brushless DC Motor (BLDCM) sebagai penggerak sekunder.
PRIBADI, WAHYU
core  

Modeling and Simulation of BLDCM Using MATLAB/SIMULINK

open access: yesJournal of Applied Sciences, 2006
C. Gencer, M. Gedikpinar
openaire   +1 more source

A Rotational Gyroscope with a Water-Film Bearing Based on Magnetic Self-Restoring Effect. [PDF]

open access: yesSensors (Basel), 2018
Chen D   +7 more
europepmc   +1 more source

Prediction and accuracy improvement of insulin pump in-fusion deviation based on LSTM and PID. [PDF]

open access: yesPLoS One
Wang L   +9 more
europepmc   +1 more source

A Novel Fuzzy Logic Speed Controller for Brushless DC Motors

open access: yes, 2012
High torque density, high efficiency and small size increase the popularity of Brushless DC Motors (BLDCM). Because of the construction BLDCM have high nonlinearities.
OKUMUŞ, HALİL İBRAHİM   +1 more
core  

Home - About - Disclaimer - Privacy