• Title/Summary/Keyword: 서보모터

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Recursive Feedforward Profile Method for Minimizing Settling Time in Position Control (위치제어 수렴구간 단축을 위한 연속 전향 보상 프로파일 기법)

  • Lee, Choongin;Park, Jaeyong;Ha, Jung-Ik
    • Proceedings of the KIPE Conference
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    • 2017.07a
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    • pp.144-145
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    • 2017
  • 서보 시스템에서는 물리적인 제한조건을 반영하여 위치 프로파일을 그려왔다. 하지만 위치 프로파일이 종료된 시점 남아있는 오차를 기존의 오차 기반 제어기를 이용하여 수렴시키기엔 많은 시간이 소요되고 이는 위치제어 성능 문제로 직결된다. 본 논문에서는 기존의 프로파일이 끝난 시점에서 시스템 제한을 고려한 최대 전압과 최대 전류를 이용하는 프로파일을 연속적으로 그려 수렴구간을 단축시키는 방법을 제안한다. 1kW 용량 서보모터를 통해 수렴시간을 기존 프로파일 방식과 비교하여 알고리즘을 검증하였다.

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PC-based low speed control of a servo motor using instantaneous speed detection (PC 기반의 순시속도 검출에 의한 서보 모터의 저속 제어)

  • 류재규;박정일;이석규
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.377-382
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    • 1993
  • The low speed control of a servo motor using instantaneous speed detection method is described. To estimate the instantaneous speed from the average speed, the speed estimator of the first or second order is used. We confirm that these estimatorsimprove the speed control performance of a servo system with experiments.

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Control of Decoupled Type High Precision Dual-Servo (Decoupled Type의 초정밀 이중 서보의 제어에 관한 연구)

  • Nam Byoung-Uk;Kim Ki-Hyun;Choi Young-Man;Kim Jung-Jae;Lee Suk-Won;Gweon Dae-Gab
    • Journal of the Korean Society for Precision Engineering
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    • v.23 no.2 s.179
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    • pp.43-50
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    • 2006
  • Recently, with rapid development of semiconductor and flat panel display, the manufacturing equipments are required to have large travel range, high productivity, and high accuracy. In this paper, an ultra precision decoupled dual servo (DDS) system is proposed to meet these requirements. And a control scheme for the DDS is studied. The proposed DDS consists of a $XY{\Theta}$ fine stage for handling work-pieces precisely and a XY coarse stage for large travel range. The fine stage consists of four voice coil motors (VCM) and air bearing guides. The coarse stage consists of linear motors and air bearing guides. The DDS is mechanically decoupled between coarse stage and fine stage. Therefore, both stages must be controlled independently and the performance of the DDS is mainly determined by the fine stage. For high performance tracking, the controller of fine stage consists of time delay control (TDC) and perturbation observer while the controller of coarse stage is TDC alone. With these individual controllers, two kinds of dual-servo control strategies are suggested: master-slave type and parallel type. By simulations and experiments, the performances of two dual-servo control strategies are compared.

Priliminary Numerical Simulation of the Torque Motor for a Servo Valve in the Fuel Supply System of APU (보조동력장치 연료 공급용 서보밸브 토크모터의 기초 수치모사 연구)

  • Chang, S.M.;Jeong, H.S.;Jang, G.W.;Yang, I.Y.;Lee, W.
    • Transactions of The Korea Fluid Power Systems Society
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    • v.6 no.2
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    • pp.1-6
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    • 2009
  • The APU(Auxiliary Power Unit) needs a set of complex pipeline for the fuel supply system where some of the main valves controlling the flow rate consist of the servo valve worked with a torque motor. The input electric current produces an induced magnetic field almost perpendicular to the background magnetic filed generated by fixed permanent magnets. The induced torque deforms the tubular bushing, and directly rotates an armature, which can open and close the valve. In this study, we start from a basic analytic model using a simple electro-magneto-statics, and expand our model to the three-dimensional one computationally applying a commercial code named COMSOL. The result is compared with each other, and reasonable numerical data are obtained for the dynamic behavior and multi-physics system.

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A Study on Unmanned Image Tracking System based on Smart Phone (스마트폰 기반의 무인 영상 추적 시스템 연구)

  • Ahn, Byeong-tae
    • Journal of Convergence for Information Technology
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    • v.9 no.3
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    • pp.30-35
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    • 2019
  • An unattended recording system based on smartphone based image image tracking is rapidly developing. Among the existing products, a system that automatically tracks and rotates the object to be photographed using an infrared signal is very expensive for general users. Therefore, this paper proposes a mobile unattended recording system that enables automatic recording by anyone who uses a smartphone. The system consists of a commercial mobile camera, a servomotor that moves the camera from side to side, a microcontroller to control the motor, and a commercial wireless Bluetooth Earset for video audio input. In this paper, we designed a system that enables unattended recording through image tracking using smartphone.

The driving system design of walking robot which uses the automotive window motor (자동차용 윈도우 모터를 이용한 보행로봇 구동부 설계)

  • YOUM, K.W.;HAM, S.H.;OH, S.H.
    • Journal of the Korean Society of Mechanical Technology
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    • v.13 no.4
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    • pp.137-141
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    • 2011
  • Driving mechanism, the central part of a robot, was designed in this study. Power for the motive drive was acquired by directly connecting the motor shaft in worm shape of the low-end DC motor, car window motor, to a decelerator. The decelerator consists of a worm gear to receive power from the motor shaft, a pinion gear to be connected in line with the worm gear, and an output shaft to be engaged to the pinion gear. Motion driving is achieved by the power from the motor shaft with the designed gears, transferred to the deceleration mechanism and to the output gear.

Application of Neural Network Self Adaptative Control System for A.C. Servo Motor Speed Control (A.C. 서보모터 속도 제어를 위한 신경망 자율 적응제어 시스템의 적용)

  • Park, Wal-Seo;Lee, Seong-Soo;Kim, Yong-Wook;Yoo, Seok-Ju
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.21 no.7
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    • pp.103-108
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    • 2007
  • Neural network is used in many fields of control systems currently. However, It is not easy to obtain input-output pattern when neural network is used for the system of a single feedback controller and it is difficult to get satisfied performance with neural network when load changes rapidly or disturbance is applied. To resolve these problems, this paper proposes a new mode to implement a neural network controller by installing a real object in place of activation function of Neural Network output node. As the Neural Network self adaptive control system is designed in simple structure neural network input-output pattern problem is solved naturally and real tin Loaming becomes possible through general back propagation algorithm. The effect of the proposed Neural Network self adaptive control algorithm was verified in a test of controlling the speed of a A.C. servo motor equipped with a high speed computing capable DSP (TMS320C32) on which the proposed algorithm was loaded.