• 제목/요약/키워드: Controller Motor

검색결과 2,567건 처리시간 0.033초

Hybrid Stepping Motor의 Driving Controller 설계와 응용에 관한 연구 (A Study on Applications and Design of Driving Controller Circuit in hybrid Stepping Motor)

  • 최도순
    • 한국산업정보학회논문지
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    • 제6권2호
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    • pp.74-79
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    • 2001
  • 로봇과 자동화기기에 범용으로 사용되는 Stewing Motor의 Driving을 위하여 unipolar 방식과 bipolar 방식의 Controller Circuit를 design 하였으며 특히 design시 Digital logic을 이용하여 Controller를 설계 제작하여 실험을 통해 그 응용성을 실험하였다. 또한 Motor의 효율 향상을 위하여 Motor의 Winding에 흐르는 전류를 제어하기 위하여 constant Current Limit Methode와 Constant Voltage Limit Methode를 분석하고 실재 회로 제작 시 응용하여 Motor의 효율을 향상시켰다.

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An FNN based Adaptive Speed Controller for Servo Motor System

  • Lee, Tae-Gyoo;Lee, Je-Hie;Huh, Uk-Youl
    • Journal of Electrical Engineering and information Science
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    • 제2권6호
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    • pp.82-89
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    • 1997
  • In this paper, an adaptive speed controller with an FNN(Feedforward Neural Network) is proposed for servo motor drives. Generally, the motor system has nonlinearities in friction, load disturbance and magnetic saturation. It is necessary to treat the nonlinearities for improving performance in servo control. The FNN can be applied to control and identify a nonlinear dynamical system by learning capability. In this study, at first, a robust speed controller is developed by Lyapunov stability theory. However, the control input has discontinuity which generates an inherent chattering. To solve the problem and to improve the performances, the FNN is introduced to convert the discontinuous input to continuous one in error boundary. The FNN is applied to identify the inverse dynamics of the motor and to control the motor using coordination of feedforward control combined with inverse motor dynamics identification. The proposed controller is developed for an SR motor which has highly nonlinear characteristics and it is compared with an MRAC(Model Reference Adaptive Controller). Experiments on an SR motor illustrate te validity of the proposed controller.

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Fuzzy 제어기를 이용한 7상 BLDC 전동기 속도제어 구동시스템 (Driving System of 7-Phase BLDC Motor Speed Control by Fuzzy Controller)

  • 윤용호
    • 전기학회논문지
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    • 제66권11호
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    • pp.1663-1668
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    • 2017
  • A BLDC motor with higher number of phases has several advantages, compared to the conventional three-phase BLDC motors. It can reduce the commutation torque ripple and the iron loss without increasing the voltage per phase and increase the reliability and power density. Higher number of phases increase the torque-per-ampere ratio for the same machine volume and output power by widening the electrical conduction period. In this paper, the proposed seven-phase BLDC motor drive system is made into several functional modular blocks, so that it can be easily extended to other ac motor applications: back-EMF block, hysteresis current control block, pwm inverter block, phase current block, and speed/torque control block. Also in a system of BLDC motor drive, the PI controller has been widely used in the speed controller because of the simple implementation. To obtain a good speed response in a general drive system using the PI controller, the high bandwidth of a controller is established. therefore, in this paper, a Fuzzy controller is applied to the 7-phase BLDC motor drive system in order to improve the speed control performance. The Fuzzy controller is compared with a conventional PI controller through the experiment with respect to speed dynamic responses. These experimental results show that the Fuzzy controller of the 7-phase BLDC motor drive system is superior over the conventional PI controller. The algorithm using the Fuzzy controller can improve a comfortable ride in the field of high performance 7-phase BLDC motor drive applications.

A study on the speed control of induction motor using Neural Network

  • Han, Young-Jae;Park, Hyun-Jun;Kim, Gil-Dong;Jang, Dong-Uk;Lee, Su-Gil;Jo, Jung-Min
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.128.3-128
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    • 2001
  • In this paper we proposed that the speed of induction motor is controlled by a PI controller, which could control unknown motor using Neural Network for auto-tuning of the PI parameter. The parameters of the PI controller were adjusted to reduce the speed error of the controlled motor. The input parameters of the Neural Network controller are the speed, q-axis current, and speed reference of the induction motor respectively. The usefulness of proposed controller will be confirmed by simulation which we compare with conventional PI controller.

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스핀들용 유도 전동기 고성능 속도 및 위치 제어기 (High performance velocity and position controller for spindle motor)

  • 임충혁;유준혁;김동일;김성권
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.648-651
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    • 1996
  • Samsung Electronics has developed high performance velocity and position controller for induction motors, and succeeded in mass production for the first time in Korea. Dynamic performance and final control accuracy of the controller are equivalent to those of AC servo motor controller. At present, we adopted the controller as spindle motor drive for Samsung CNC systems, and expect its wide use in industry as general purpose velocity and position controller for induction motor.

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스핀들용 유도 전동기 고성능 속도 및 위치 제어기 (High Performance Velocity and position Controller for Spindle Motor)

  • 유준혁
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 1996년도 추계학술대회 논문
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    • pp.11-14
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    • 1996
  • Samsung Electronics has developed high performance velocity and position controller for induction motors and succeeded in mass production for first time in Lorea. Dynamic performance and final control accuracy of the controller are equivalent to those of AC servo motor controller. At present we adopted the controller as spindle motor drive for Samsung CNC systems and expect its wide use in industry as general purpose velocity and position controller for induction motor.

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Classical Controller with Intelligent Properties for Speed Control of Vector Controlled Induction Motor

  • Salem, Mahmoud M.
    • Journal of Power Electronics
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    • 제8권3호
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    • pp.210-216
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    • 2008
  • This paper presents a classical speed controller (CSC) for vector controlled induction motors. The controller explores the use of a Fuzzy Logic controller in a classical form. The controller combines the advantages of the classical controller and the properties of intelligent controllers. The Fuzzy Logic controller idea is used to obtain the CSC output equation, whereby the CSC equation is based on the speed error and its change. The CSC parameters are calculated based on the motor mechanical equation and a predefined system performance. Once the CSC parameters are obtained, the defined speed performance can be achieved at all operating conditions. The application of the CSC to control the speed of a vector controlled induction motor is presented. Different induction motor ratings are used. Simulation results in all possible olperating conditions are presented. Results show that the CSC behaves as an expert controller to provide the predefined speed performance in all possible operating conditions. Based on the results obtained in this paper, the CSC is expected to become the ultimate solution for high-performance drives of the next generation.

슬라이딩 모드 관측기를 이용한 유도전동기의 효율 최적화 (Efficiency Optimization with Sliding Mode Observer for Induction Motor)

  • 이선영;박기광;양해원
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2009년도 춘계학술대회 논문집 전기설비전문위원
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    • pp.74-76
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    • 2009
  • In this paper, search method and sliding mode observer are developed for efficiency optimization of induction motor. The proposed control scheme consists of efficiency controller and adaptive backstepping controller. A search controller for which information of input of fuzzy controller is included in efficiency controller that uses a direct vector controlled induction motor. The search controller is based on the "Rosenbrock" method and finds the flux level at the minimum input power of induction motor. Once this optimal flux level has been determined, this information is utilized to update the rule base of a fuzzy controller A sliding mode observer is designed to estimate rotor flux and an adaptive backstepping controller is also used to compensate for mechanical uncertainties in the speed control of induction motor. Simulation results are presented to validate the proposed controller.

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부하변동을 보상한 유도전동기 신경망 속도 제어기 (Load variation Compensated Neural Network Speed Controller for Induction Motor Drives)

  • 오원석;조규민;김희준;신태현;김영태
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 하계학술대회 논문집 B
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    • pp.1137-1139
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    • 2002
  • In this paper, recurrent artificial neural network (RNN) based self tuning speed controller is proposed for the high performance drives of induction motor. RNN provides a nonlinear modeling of motor drive system and could give the information of the load variation, system noise and parameter variation of induction motor to the controller through the on-line estimated weights of corresponding RNN. Thus, proposed self tuning controller can change gains of the controller according to system conditions. The gain is composed with the weights of RNN. For the on-line estimation of the weights of RNN, extended kalman filter (EKF) algorithm is used. Self tuning controller that is adequate for the speed control of induction motor is designed. The availability of the proposed controller is verified through the MATLAB simulation with the comparison of conventional PI controller.

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Induction Motor Position Controller Based on Rotational Motion Equations

  • Salem, Mahmoud M.
    • Journal of Power Electronics
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    • 제8권3호
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    • pp.268-274
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    • 2008
  • This paper presents a proposed position controller for a vector controlled induction motor. The position controller design depends on the rotational motion equations and a classical speed controller (CSC) performance. The CSC is designed to have the ability to track variable reference inputs and to provide a predefined system performance. Standard position controller in industry is presented to analyze its performance and its drawbacks. Then the proposed position controller is designed, based on the well defined rotational motion equations. The proposed position controller and the CSC are applied to control the position and speed of the vector controlled induction motor with different ratings. Simulation results at different operating conditions are presented to evaluate the proposed controllers' performance. The results show that the CSC can drive the motor with a predefined speed performance and can track a variable reference speed with an approximately zero steady state error. The results also show that the proposed position controller has the ability to effect high-precision positioning in a limited time and to track a variable reference position with a zero steady state error.