Results 61 to 70 of about 590 (183)

Low speed sensorless control method of brushless DC motor based on pulse high frequency voltage injection

open access: yesAlexandria Engineering Journal, 2022
A low speed sensorless position control method for brushless DC motor based on pulse pulse high frequency voltage injection is proposed according to the characteristic that the brushless DC motor (BLDCM) which is produced at present makes the counter ...
Lihui Sun
doaj   +1 more source

Design of Sine-Wave Control System of BLDCM Regarding a New Permanent-Magnet Material

open access: yes, 2011
The Brushless Direct Current Motor (BLDCM) is in nature of high power density, high reliability and easy control etc, growing with the development of microcomputers, new power electronic devices, control theories and low cost rare earth permanent magnet ...
Yu Feng Lu   +3 more
core   +1 more source

Neural Network-Based Optimisation of Sinusoidal PWM Controller for VSI-Driven BLDC Motor

open access: yesPower Electronics and Drives, 2023
Although increasing the number of switches increases the switch losses, most designed controllers focus on controlling an inverter circuit with more than six switches.
Owusu George   +2 more
doaj   +1 more source

Research on brushless DC motor control system based on fuzzy parameter adaptive PI algorithm

open access: yesAIP Advances, 2020
As a complex system with multiple variables, nonlinearity, and strong coupling, the BLDCM (Brushless Direct Current Motor) has many problems, such as bad parameter tuning, poor adaptability, low control accuracy, and weak anti-interference ability by ...
Hongqiao Yin   +4 more
doaj   +1 more source

Dynamic Characteristic Analysis of Permanent Magnet Brushless DC Motor System with Rolling Rotor

open access: yesApplied Sciences, 2022
With the wide application of permanent magnet brushless DC motors (BLDCMs) in home appliances and electric vehicles, there is increasing demand for BLDCMs with low vibration and noise.
Yi Wan   +4 more
doaj   +1 more source

Leakage magnetic field of BLDCM based on Comsol multiphysics [PDF]

open access: yesAIP Conference Proceedings, 2017
The measurement of geomagnetic field conducted by underwater robot is widely used during cruise, however, it is often influenced by the strong electromagnetic interference of the other large-scale electronic equipment on the robot itself. The leakage magnetic field of high-power brushless DC motor (BLDCM) has been identified as one of the main ...
Xiaojun Zhang   +3 more
openaire   +1 more source

Aspects Concerning the Torque Ripple Control of the Brushless DC Motor

open access: yesAdvances in Electrical and Computer Engineering, 2013
This paper deals with two advanced numerical structures to control the electromagnetic torque ripple of Brushless Direct Current Motors (BLDCM), indirectly achieved by phase currents control and directly by the Direct Torque Control (DTC) technique. In
BALUTA, G., URSANU, G.
doaj   +1 more source

Study on LabVIEW-based Aviation BLDCM Control System

open access: yesIOP Conference Series: Materials Science and Engineering, 2020
Abstract with the increasing market demand and rapid development of aircraft technology, more electric concept has become an important trend for the future development of aircraft. Therefore, motors are widely applied in the aviation field increasingly.
Linhai Zhang, Yeming Yao, Lilin Xu
openaire   +1 more source

Convertidor Aislado para mejorar el Factor de Potencia en un Controlador de un Motor CD sin escobillas

open access: yesIngeniería e Investigación, 2017
The main advantages of the Brushless Direct Current Motor (BLDCM) are high efficiency, low maintenance, long life, low noise, control simplicity, low weight, and compact construction.
Alfonso A Jimenez-Garibay   +2 more
doaj   +1 more source

Q-learning optimized diagonal recurrent neural network control strategy for brushless direct current motors

open access: yesAdvances in Mechanical Engineering, 2020
In order to improve the working stability of brushless direct current motors (BLDCM), a diagonal recursive neural network (DRNN) control strategy based on Q-learning algorithm is proposed in this paper which is called as Q-DRNN.
Huangshui Hu   +3 more
doaj   +1 more source

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