• 제목/요약/키워드: DC motor controller

검색결과 626건 처리시간 0.042초

직류전동기 제어기법을 적용한 3상 BLDC 모터 제어에 관한 연구 (A Study of Control for 3 Phase BLDC Motor using Control Methodology of DC Motor)

  • 김진만;남택근
    • 해양환경안전학회지
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    • 제29권6호
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    • pp.704-711
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    • 2023
  • 본 논문은 직류전동기(DC motor)와 전기적인 특성은 유사하지만, 수명과 신뢰성이 향상된 BLDC 모터의 제어기법에 대해 언급하고 있다. BLDC모터는 회전자의 위치 정보를 사용하여 직류전동기의 기계적인 접촉에 의한 정류 장치를 제거함으로써 내구성과 속도 안정성을 향상시킬 수 있다. 본 연구에서는 BLDC모터의 권선에 흐르는 전류가 직류전동기의 전기자에 흐르는 구형파 형태의 전류인 것에 착안하여 직류전동기에 대한 제어기를 설계하고, 설계된 제어기를 3상 BLDC모터에 적용하여 제어기의 유효성을 확인하였다. 이를 위해 3상 BLDC모터의 전기적인 파라미터 값을 가지는 단상 직류전동기의 모델링을 실시하였고, 도출된 시스템에 대해 근궤적법을 적용하여 전동기의 속도제어를 위한 PI 제어기를 설계하였다. DC 전동기의 속도제어 시뮬레이션을 시행하여 제어기의 성능을 확인하였고, 동일한 제어기를 MATLAB으로 구현한 3상 BLDC모터의 속도제어에 적용하였다. DC 전동기와 유사한 제어 결과를 3상 BLDC모터에서 얻을 수 있었고, 이를 통해 연구에서 제안한 제어기법의 유용성을 확인할 수 있었다.

MATLAB/SIMULINK의 모델기반 제어기 설계를 이용한 직류전동기 구동 시스템의 임베디드 제어 시스템 (Embedded Control System of DC Motor Drive System Using Model Based Controller Design in MATLAB/SIMULINK)

  • 최승필;이용석;지준근
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 제38회 하계학술대회
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    • pp.1954-1955
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    • 2007
  • This paper presents a modeling method of speed controller for DC motor drive system by using the Embedded Target for TI C2000 DSP in MATLAB/SIMULINK. Speed controller is easily designed and implemented by using the MATLAB/SIMULINK program, and speed control response and stability of the DC motor can be improved. Feedback of motor speed is processed through C28x QEP(Quadrature Encoder Pulse) from encoder pulse. The controller is designed as PI speed controller. Simulation program is drawn using SIMULINK. Then a real-time program for speed control of the DC motor is downloaded into the eZdsp F2811 control board. Speed control response is verified through simulations and experiments.

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A DC Motor Speed Control by Selection of PID Parameter using Genetic Algorithm

  • Yoo, Heui-Han;Lee, Yun-Hyung
    • Journal of Advanced Marine Engineering and Technology
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    • 제31권3호
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    • pp.293-300
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    • 2007
  • The aim of this paper is to design a speed controller of a DC motor by selection of a PID parameters using genetic algorithm. The model of a DC motor is considered as a typical non-oscillatory, second-order system, And this paper compares three kinds of tuning methods of parameter for PID controller. One is the controller design by the genetic algorithm. second is the controller design by the model matching method third is the controller design by Ziegler and Nichols method. It was found that the proposed PID parameters adjustment by the genetic algorithm is better than the Ziegler & Nickels' method. And also found that the results of the method by the genetic algorithm is nearly same as the model matching method which is analytical method. The proposed method could be applied to the higher order system which is not easy to use the model matching method.

DC MOTOR SPEED CONTROL USING PID CONTROLLER

  • Loucif, Fatiha
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.2557-2561
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    • 2005
  • The PID controller design and choosing PID parameters according to system response are proposed in this paper. Here PID controller is employed to control DC motor speed and Matlab program is used for calculation and simulation. Choosing PID parameters are demonstrated by several contrast experiments and a way for setting PID parameters values is discussed.

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Development and Implementation of Brushless DC Motor Controlles Based on Inteligent Control

  • Park, Jin-Hyun;Park, Young-Kiu
    • Journal of Electrical Engineering and information Science
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    • 제2권3호
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    • pp.61-65
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    • 1997
  • This paper proposes an intelligent controller for brushless DC motor and load with unknown nonlinear dynamics. The proposed intelligent control system consists of a plant identifier and PID controller with varying gains. The identifier is constructed using an Auto Regressive Moving Average (ARMA) model. In order to tune the parameters of the identifier and the gains of the PID controller efficiently, e also propose a modified Evolution Strategy. Experimental results show that the proposed intelligent controller for brushless DC motor has good control performance under unknown disturbance.

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역동력학과 퍼지기법을 이용한 DC 모터의 속도제어 (DC Motor Speed Control Using Inverse Dynamics and the Fuzzy Technique)

  • 김병만;유성호;박승수;김종화;진강규
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.138-138
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    • 2000
  • In this paper, a methodology for designing a controller based on inverse dynamics for speed control of DC motors is presented. The proposed controller consists of a prefilter, the inverse dynamic model of a system and a fuzzy logic controller. The prefilter prevents high frequency effects from the inverse dynamic model. The model of the system is characterized by a nonlinear equation with coulomb friction. The fuzzy logic controller regulates the error between the set-point and the system output which may be caused by disturbances and it simultaneously traces the change o( the reference input. The parameters of the model are estimated by a genetic a]gorithm. An experimental work on a DC motor system is carried out to illustrate the performance of the proposed controller

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Matlab/Simulink의 TI C2000 DSP 임베디드 타겟을 이용한 직류 전동기 구동 시스템 (DC Motor Drive System Using Embedded Target for TI C2000DSP in Matlab/Simulink)

  • 전한영;이용석;지준근
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 제37회 하계학술대회 논문집 B
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    • pp.1027-1028
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    • 2006
  • In this paper, design of current and speed controller for DC motor drive system using Embedded Target for TI C2000DSP in Matlab/Simulink is introduced. Current and speed controller is designed and implemented using program simply and easily, and speed control response of DC motor can be advanced. Current and speed control of DC motor is carried in eZdsp F2812 control board using Embeded Target for TI C2000DSP in Matlab/Simulink. Speed feedback is processed through A/D converter using tacho generator as speed sensor, and current feedback is processed through A/D converter using hall sensor as current sensor. Controller is designed to PI current controller and PI speed controller. Current and speed response is verified through simulations and experiments.

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고이득 관측기를 이용한 센서없는 직류서보전동기의 속도 제어 (Speed-Sensorless Control of DC Servo Motor Using a High Gain Observer)

  • 김상훈;김낙교
    • 대한전기학회논문지:시스템및제어부문D
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    • 제52권10호
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    • pp.583-590
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    • 2003
  • This paper deals with speed control of DC servo motor using a high gain obserber. It was designed to estimate rotor speed of DC servo motor and it carries out speed control from the feedback of the estimated speed signal. Also, PI controller was used in speed controller. In order to verify the performance of the high gain observer which is proposed in this paper, it is compared estimate performance of Luenberger Observer and High Gain Observer with the computer simulation. Effectiveness of the proposed high gain observer is proved from the experiment to compare the case with a speed sensor to the case with high gain observer in the speed control of DC servo motor.

전문가 제어기를 이용한 직류 전동기의 강인 제어 (Robust speed control of DC motor using Expert Hybrid controller)

  • 조현섭;오훈;전정채;유인호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 D
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    • pp.2799-2801
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    • 2000
  • Robust control for DC motor is needed according to the highest precision of industrial automation. However, when a motor control system with PID controller has an effect of load disturbance, it is very difficult to guarantee the robustness of control system. In this paper, PID-Expert hybrid control method for motor control system as a compensation method solving this problem is presented. If PID control system is stable, the Expert controller is idle. if the error hits the boundary of the constraint. the Expert controller begins operation to force the error back to the constraint set. The disturbance effect decrease remarkably, robust speed control of DC motor using PID-Expert Hybrid controller is demonstrated by the simulation.

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DC 모터를 위한 전류궤환형 학습제어기 설계 (Design of Current-Feedback Control for DC Motors)

  • 백승민;김진홍;국태용
    • 대한전기학회논문지:전력기술부문A
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    • 제48권12호
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    • pp.1520-1526
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    • 1999
  • This paper presents a current feedback learning controller for dynamic control of DC motors. The proposed controller uses the full third-order dynamics model of DC motor system to drive stable learning rules for virtual current learning input, voltage learning input, and the coefficient of electromotive force. It is shown that the proposed learning controller drives the state of uncertain DC motor system with unknown system parameters and external load torque to the desired one globally asymptotically. Computer simulation and experimental results are given to demonstrate the effectiveness of the proposed adaptive learning controller.

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