• 제목/요약/키워드: Speed Control system

검색결과 5,283건 처리시간 0.027초

엘리베이터 도어 시스템을 위한 PMSM의 위치제어 알고리즘 (Position Control Algorithm of a PMSM for the Elevator Door System)

  • 송기영;조관열;김학원;오현철
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2012년도 추계학술대회 논문집
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    • pp.17-18
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    • 2012
  • Generally, speed control system is used to control the elevator door. The whole speed profile must be installed in the speed controller of the door control system. However, it is not easy to modify the speed profile when door opening size and time are changed. In this paper, the making speed profile is discussed by the door opening size and time. The position control algorithms of PMSM for elevator door system are compared with general speed control, position control method with speed controller, and position control with speed command feedforward compensation by simulation using MATLAB/SIMULINK.

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비-어파인 비선형 동특성을 갖는 무인 자율 이동 보트의 속도 제어를 위한 적응 퍼지 제어 계통 (An Adaptive Fuzzy Control System for the Speed Control of the Autonomous Surface Vehicle with Nonaffine Nonlinear Dynamics)

  • 박영환;이재경
    • 제어로봇시스템학회논문지
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    • 제18권1호
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    • pp.1-6
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    • 2012
  • In this paper, an adaptive fuzzy control system is proposed for the speed control of the ASV (Autonomous Surface Vehicle) with nonaffine nonlinear system dynamics. We consider the turning speed of the screw propeller to be the control input instead of thrust so that we do not have to know the exact function between turning speed and thrust. But in this case, the ASV becomes a nonaffine nonlinear system because thrust is a nonlinear function of the turning speed. To solve this problem, we propose a Takagi-Sugeno fuzzy-model-based control system and simulation studies are performed. Simulation results show the effectiveness of the proposed control scheme.

고속 밀링 주축용 자기베어링 시스템의 디지털 제어기 설계 (Digital Controller Design of a Magnetic Bearing System for High Speed Milling Spindle)

  • 노승국;경진호;박종권
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2004년도 춘계학술대회 논문집
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    • pp.398-403
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    • 2004
  • The demand of high speed machining is increasing because the high speed cutting providers high efficiency of process, short process time, improved metal removal capacity and better surface finish. Active magnetic bearings allow much high surface speed than conventional ball bearings and therefore greatly suitable for high speed cutting. The automatic control concept of magnetic bearing system provides ability of intelligent control of spindle system to increase accuracy and flexibility by means of adaptive vibration control. This paper describes a design and development of a milling spindle system which includes built-in motor with power 5.5㎾ and maximum speed 70,000rpm, HSK-32C tool holer and active magnetic bearing system. Magnetic actuators are designed for satisfying static load condition. The Performances of manufactured spindle system was examined for its static and dynamic stiffness, load capacity, and rotational accuracy. This spindle was run up to 70,000 rpm stably, which is 3.5 million DmN.

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직접 토크제어에 의한 속도검출기 없는 SPMSM의 속도 제어 시스템 (A Speed Sensorless SPMSM Position Control System with Direct Torque Control)

  • 김민호;김남훈;김동희;김민회
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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    • pp.277-280
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    • 2001
  • This paper presents a speed sensorless implementation of digital speed control system of Surface Permanent-Magnet Synchronous Motor(SPMSM) drives with a direct torque control(DTC). The system presented are stator flux and torque observer of stator flux feedback control model that inputs are current and voltage sensing of motor terminal with estimated rotor angle for a low speed operating area, two hysteresis band controllers, an optimal switching look-up table, rotor speed estimator, and IGBT voltage source inverter by using fully integrated control software. The developed speed sensorless control system are shown a good motion control response characteristic results and high performance features using 1.0Kw purposed servo drive SPMSM.

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열차제어기술 체계화 방안에 대한 연구 (A Study of Systematization for Train Control Technique)

  • 이재호;신덕호;이강미
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2009년도 춘계학술대회 논문집
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    • pp.2010-2016
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    • 2009
  • Before introducing high speed train, train signal system was operated passively depending on a driver by signal lamp display. Now it is changing to onboard signaling system because of train speed increased(conventional track is 230km/h, high speed track is 380km/h), high speed. low speed freight train operation mixed, operation for high speed train in conventional track and dense operation. ie. ETCS(European Train Control System) Level 1 is introducing. Also, in case of high speed train, the train control system of France was introduced and has operated from 2004, now we have a difficulty for rising speed more than 300km/h because of commercial operation speed limited as 300km/h. Therefore, it need to establish the train control technique according to trackside surroundings and develope standard system like European ERTMS/ETCS, China CTCS(Chinese Train Control System), Japan D-ATC(Digital Automatic Train Control). In this paper, we derive the systematization method for Korea train technique by network-oriented, information-oriented, intelligence-oriented and combination-oriented corresponding train development direction. Proposed method has a merit to prevent cross by mixed operation with existing system and improvement after validity demonstration and system development and supply train system to meet user requirement in exporting.

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직접 토오크 제어를 이용한 센스리스 유도전동기의 속도제어 (A Speed Control of Sensorless Induction Motor using Direct Torque Control)

  • 박건우;고태언;하홍곤
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2001년도 학술대회논문집
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    • pp.181-185
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    • 2001
  • This paper presents a digitally speed sensorless control system for induction motor with direct torque control (DTC). The drive is based on Mode1 Reference Adaptive System (MRAS) using state observer as a reference model fat flux estimation. The system are closed loop stator flux and torque observer for wide speed range that inputs are currents and voltages sensing of motor terminal, model reference adaptive control (MRAS) with rotor flux linkages for the speed turning aignal at low speed range, two hysteresis controllers. The Proposed system is verified through simulation.

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전류제어 알고리즘에 의한 동기모터의 속도제어 (Speed Control for Synchronous Motor Using the Current Control Algorithm)

  • 변정환;정석권
    • 동력기계공학회지
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    • 제3권1호
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    • pp.67-73
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    • 1999
  • It is not easy to control the speed of AC motors accurately without modeling with some parameters for the controlled system. However, there are some application parts which do not require high speed responses strictly and the motor parameters can not to be identified simply. In this paper, a speed control method for a synchronous motor(S.M) with unknown parameters of the motor is investigated. The method is based on the current control algorithm. Speed controller and current controller are designed using PI control law. Some experiments are performed using DSP and power expert system to prove the validity of the proposed method. Throughout experimental results, the method is confirmed successfully. This method is expected to control the system with unknown parameters of the S.M efficiently.

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직접 토크제어에 의한 속도검출기 없는 유도전동기의 고성능 제어시스템 (A High-Performance Speed Sensorless Control System for Induction Motor with Direct Torque Control)

  • 김민회;김남훈;백원식
    • 전기학회논문지P
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    • 제51권1호
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    • pp.18-27
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    • 2002
  • This paper presents an implementation of digital high-performance speed sensorless control system of an induction motor drives with Direct Torque Control(DTC). The system consists of closed loop stator flux and torque observer, speed and torque estimators, two hysteresis controllers, an optimal switching look-up table, IGBT voltage source inverter, and TMS320C31 DSP controller board. The stator flux observer is based on the combined current and voltage model with stator flux feedback adaptive control for wide speed range. The speed estimator is using the model reference adaptive system(MRAS) with rotor flux linkages for speed turning signal estimation. In order to prove the suggested speed sensorless control algorithm, and to obtain a high-dynamic robust adaptive performance, we have some simulations and actual experiments at low(20rpm) and high(1000rpm) speed areas. The developed speed sensorless system are shown a good speed control response characteristic, and high performance features using 2.2[kW] general purposed induction motor.

피치제어형 풍력발전시스템의 속도제어 (Speed Control of a Wind Turbine System Based on Pitch Control)

  • 임종환;허종철
    • 제어로봇시스템학회논문지
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    • 제7권2호
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    • pp.109-116
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    • 2001
  • The paper presents a speed control algorithm for a full pitch-controlled wind turbine system. Torque of a blade generated by wind energy is a nonlinear function of wind speed, angular velocity, and pitch angle of the blade. The design of the controller, in general, is performed by linearizing the torque in the vicinity of the operating point assuming the angular velocity of the blade is constant. For speed control, however the angular velocity is on longer a constant, so that linearization of the torque in terms of wind speed and pitch angle is impossible. In this study, a reference pitch model is derived in terms of a wind speed, angular velocity, and pitch angle, which makes it possible to design a controller without linearizing the nonlinear torque model of the blade. This paper also suggests a method of designing a hydraulic control system for changing the pitch angle of the blade.

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Pitch Angle Control and Wind Speed Prediction Method Using Inverse Input-Output Relation of a Wind Generation System

  • Hyun, Seung Ho;Wang, Jialong
    • Journal of Electrical Engineering and Technology
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    • 제8권5호
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    • pp.1040-1048
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    • 2013
  • In this paper, a sensorless pitch angle control method for a wind generation system is suggested. One-step-ahead prediction control law is adopted to control the pitch angle of a wind turbine in order for electric output power to track target values. And it is shown that this control scheme using the inverse dynamics of the controlled system enables us to predict current wind speed without an anemometer, to a considerable precision. The inverse input-output of the controlled system is realized by use of an artificial neural network. The proposed control and wind speed prediction method is applied to a Double-Feed Induction Generation system connected to a simple power system through computer simulation to show its effectiveness. The simulation results demonstrate that the suggested method shows better control performances with less control efforts than a conventional Proportional-Integral controller.