• Title/Summary/Keyword: BLDC(brushless DC) motor

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Magnetization Fault Diagnosis of Concentrated Winding BLDC Motors for Compressor (압축기용 집중권 BLDC 전동기의 착자 불량 진단)

  • Lee, Kwang-Woon
    • The Transactions of the Korean Institute of Power Electronics
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    • v.14 no.3
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    • pp.197-203
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    • 2009
  • This paper presents a novel method to diagnose magnetization faults produced during magnetization process using stator coils of a brushless dc motor with concentrated windings. It is demonstrated that the stator coil magnetization faults can cause a drop of energy efficiency of the brushless dc motor through computer simulations using a magnetization fault model and efficiency test using compressors. The proposed method diagnoses the stator coil magnetization faults by using an inverter during the brushless dc motor driving test after the magnetization process is completed. An experimental study on the brushless dc motor for compressor shows that the stator coil magnetization faults can be detected with high sensitivity.

Study on BLDC (Brushless DC) Motor Position Detection by Adding Signal Brush (Signal Brush를 적용한 BLDC(Brushless DC) 모터 위치 검출)

  • Young Pil Kim;Si Kyung Kim
    • Journal of the Semiconductor & Display Technology
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    • v.23 no.1
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    • pp.48-51
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    • 2024
  • Recently, high-performance BLDC(Brushless DC) motors are being applied to various fields such as industrial and personal mobility devices and drones. To achieve the best performance of BLDC, sensors such as hall sensors, encoders, and resolvers are used to determine the position of the rotor, and various speed control technologies are being developed. However, due to problems with high-speed control due to external environmental factors and frequency bandwidth of semiconductor sensing devices, research on BLDC motors without semiconductor sensing devices is in progress. Therefore, in this study, a signal brush was added to the end of the rotor of a BLDC motor and the rotor position of the BLDC motor was detected by analyzing the signal output through the signal brush.

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Development of Brushless DC Motor for 0.5[kW] Air Compressor of Electric Vehicle (전기자동차용 0.5[kW]급 공기압축기의 브러시리스 직류전동기 개발)

  • Han, Man-Seung;Hong, Song-Ryul;Jo, Ju-Hee;Lee, Sang-Hun;Park, Seong-Jun;Kim, Dae-Kyong
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.26 no.8
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    • pp.71-78
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    • 2012
  • Recently, it is increased to apply sensorless drive for BLDC (Brushless DC) motor to maximize operating efficiency and fuel efficiency to an electrical component of (H)EV. Especially, Electric vehicle component promotes a fuel efficiency enhancement by the carbon dioxide emissions regulation of a vehicle becoming the principal of the environmental pollution globally, the oil price hike that continued increasingly. We suggested the air compressor which applied BLDC motor for electric vehicle component and compared suggested BLDC motor with the conventional DC motor. The experimental results show that the driving efficiency was increased and was inproved compressive force by suggested BLDC motor.

The Parameter Estimation and Stability Improvement of the Brushless DC Motor (Brushless DC Motor의 제어 파라미터 추정과 안정도향상)

  • Kim, Cherl-Jin;Im, Tae-Bin
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.48 no.3
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    • pp.131-138
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    • 1999
  • Generally, the digital controller has many advantages such as high precision, robustness to electrical noise, capability of flexible programming and fast response to the load variation. In this study, we have established proper mathematical equivalent model of Brushless DC (BLDC) motor and estimated the motor parameter by means of the back-emf measurement as being the step input to the controlled target BLDC motor. And the validity of proposed estimation method is confirmed by the test result of step response. As well, we have designed the reasonable digital controller as a consequence of the root locus method which is obtained from the open-loop transfer function of BLDC motor with hall sensor, and the determination of control gain for variable speed control. Here, revised Ziegler-Nichols tuning method is applied for the proper digital gain establishment, and the system stability is verified by the frequency domain analysis with Bode-plot and experimentation.

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A Simple Fault Correction Method for Rotor Position Detection of Brushless DC Motor using a Latch Type Hall Effect Sensor

  • Baik In-Cheol;Joo Hyeong-Gil
    • Journal of Power Electronics
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    • v.5 no.1
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    • pp.62-66
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    • 2005
  • A simple fault correction method for rotor position detection of a brushless DC(BLDC) motor with trapezoidal back EMF(electromotive force) using a Hall effect latch unit is presented. The reason why the Hall effect latch unit does not operate properly during the startup of a BLDC motor is thoroughly explained. To solve this problem, a simple code change method and its hardware implementation issues are proposed and discussed.

Advanced Simulation Model for Brushless DC Motor Drives

  • Lee, Byoung kuk;Mehrdad Ehsani
    • Journal of Power Electronics
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    • v.3 no.2
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    • pp.124-138
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    • 2003
  • An advanced simulation model for brushless dc (BLDC) motor drives using Matlab is presented. In the developed model, the dynamic characteristics of speed and torque as well as voltages and currents of pwm inverter components can be effectively monitored and analyzed. Therefore, it can be expected that the developed simulation model can be an easy-to-design tool for the development of BLDC motor drives including control algorithms and topological variations with reduced computation time and memory size.

Acoustic Noise and Vibration Reduction of Coreless Brushless DC Motors with an Air Dynamic Bearing

  • Yang, lee-Woo;Kim, Young-Seok;Kim, Sang-Uk
    • Journal of Electrical Engineering and Technology
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    • v.4 no.2
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    • pp.255-265
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    • 2009
  • This paper presents the acoustic noise and mechanical vibration reduction of a coreless brushless DC motor with an air dynamic bearing used in a digital lightening processor. The coreless brushless DC motor does not have a stator yoke or stator slot to remove the unbalanced force caused by the interaction between the stator yoke and the rotor magnet. An unbalanced force makes slotless brushless DC motors vibrate and mechanically noisy, and the attractive force between the magnet and the stator yoke increases power consumption. Also, when a coreless brushless DC motor is driven by a $120^{\circ}$ conduction type inverter, high frequency acoustic noise occurs because of the peak components of the phase currents caused by small phase inductance and large phase resistance. In this paper, a core-less brushless DC motor with an air dynamic bearing to remove mechanical vibration and to reduce power consumption is applied to a digital lightening processor. A $180^{\circ}$ conduction type inverter drives it to reduce high frequency acoustic noise. The applied methods are simulated and tested using a manufactured prototype motor with an air dynamic bearing. The experimental results show that a coreless brushless DC motor has characteristics of low power consumption, low mechanical vibration, and low high frequency acoustic noise.

A High Performance Current Control Stratege for a BLDC Motor (BLDC 전동기를 위한 고성능 전류 제어 기법)

  • Kim, Sang-Hoon;Kim, Jin-Yong
    • Journal of Industrial Technology
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    • v.22 no.B
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    • pp.125-132
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    • 2002
  • In this paper, a high performance current control strategy for a Brushless DC Motor is presented. The proposed strategy is based on the ramp comparison PI current control with the predictive voltage compensation. The proposed strategy is compared with the hysteresis current control strategy. The proposed method can improve the current waveforms, and it can reduce the torque ripples. So the proposed strategy is suitable to a high performance current control strategy for a Brushless DC Motor. The simulation and experimental results for a laboratory Brushless DC motor drive system confirm the validity of the proposed strategy.

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Digital Implementation of PWM Techniques for Two-phase Eight-switch Inverter fed Brushless DC Motor Drives

  • Lin, Hai;You, Yong-Min;Cheon, Sung-Rock;Kwon, Byung-Il
    • Journal of Electrical Engineering and Technology
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    • v.8 no.2
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    • pp.295-303
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    • 2013
  • This paper reports an investigation of pulse width modulation (PWM) techniques for two-phase brushless DC (BLDC) motors fed by a two-phase eight-switch inverter in a fan application. The three-phase BLDC motor is widely applied in industry; however, a lower-cost two-phase BLDC motor and drive circuit has been greatly in demand in recent years. In this paper, we introduce a mathematical model of the two-phase BLDC motor with sinusoidal back electromotive forces (EMFs) based on traditional three-phase BLDC motors. To simplify the drive algorithm and speed up its application, we analyze the principle of block commutation for a two-phase BLDC motor drive in the 180-electrical-degree conduction mode, and we further propose five PWM schemes to improve the commutation performance of the two-phase BLDC drive. The effectiveness of the proposed PWM methods is verified through experiments.

The Analysis of Dynamic characteristics and Modeling of Brushless DC Motor (Brushless DC 전동기의 모델링과 동특성 해석)

  • 전내석;조성훈;안병원;이성근;김윤식
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2001.05a
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    • pp.408-413
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    • 2001
  • DC motor has widely been used in the field of variable-speed driving unit since it is easy to control flux and torque precisely but it is troublesome to check and maintain periodically. In addition, there are difficulties in hish power and high speed running due to rectifying limit of commutator, and are a lot of restrictions in installation. Therefore, speed control in BLDC(Brushless DC) motor has seriously been studied for a long while. In this paper, a mathematical model of BLDC motor driven by PWM inverter is developed. Dynamics and steady-state characteristics of BLDC motor are simulated and analyzed with a series of experiment for the parameter estimation : torque, speed, phase voltage and current.

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