• Title/Summary/Keyword: Dual-servo

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Speed control of AC Servo Motor with Neuro-Fuzzy Controller (뉴로-퍼지 제어기를 이용한 교류 서보 전동기의 속도제어)

  • Kim, Jong-Hyun;Kim, Sang-Hoon;Ko, Bong-Un;Kim, Lark-Kyo
    • Proceedings of the KIEE Conference
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    • 2001.07d
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    • pp.2018-2020
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    • 2001
  • In this study, a Neuro-Fuzzy Controller which has the characteristic of Fuzzy control and Artificial Neural Network is designed. A fuzzy rule to be applied is automatically selected by the allocated neurons. The neurons correspond to Fuzzy rules are created by an expert. To adapt the more precise modeling is implemented by error back propagation learning of adjusting the link-weight of fuzzy membership function in the Neuro-Fuzzy controller. The more classified fuzzy rule is used to include the property of dual mode method. In order to verify the effectiveness of an algorithm designed above, an operating characteristic of a AC servo motor is investigated.

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LQ-servo Design Method Using Convex Optimization(II) Time Domain Approach (볼록형 최적화기법을 이용한 LQ-서보 설계 방법 (II) 시간 영역에서의 접근)

  • 김상엽;서병설
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.6A
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    • pp.855-861
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    • 2000
  • This paper concerns a development of LQ-servo PI controller design on the basis of time-domain approach. The motivation is because the previous design techniques developed on the frequency-domain is not well suited meet the time-domain design specifications. Our development techniques used in this paper is base on the convex optimization methods including Lagrange multiplier, dual concept, semidefinite programming.

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The position and Speed Control of a DC Servo-Motor Using Fuzzy-Neural Network Control System (퍼지-뉴럴 제어 시스템을 이용한 직류 서보 전동기의 위치 및 속도 제어)

  • Kang, Young-Ho;Jeong, Heon-Joo;Kim, Man-Cheol;Kim, Nak-Kyo
    • Proceedings of the KIEE Conference
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    • 1993.07a
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    • pp.244-247
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    • 1993
  • In this paper, Fuzzy-Neural Network Control system that has the characteristic of fuzzy control to be controlled easily end the good characteristic of a artificial neural network to control the plant due to its learning is presented. A fuzzy rule to be applied is selected automatically by the allocated neurons. The neurons correspond to Fuzzy rules which ere created by a expert. To adaptivity, the more precise modeling is implemented by error beck-propagation learning of adjusting the link-weight of fuzzy membership function in Fuzzy-Neural Network. The more classified fuzzy rule is used to include the property of Dual Mode Method. To test the effectiveness of the algorithm presented above, the simulation for position end velocity of DC servo motor is implemented.

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Effective Real Time Tracking System using Stereo Vision

  • Lee, Hyun-Jin;Kuc, Tae-Young
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.70.1-70
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    • 2001
  • Recently, research of visual control is getting more essential in robotic application, and acquiring 3D informations from the 2D images is becoming more important with development of vision system. For this application, we propose the effective way of controlling stereo vision tracking system for target tracking and calculating distance between target and camera. In this paper we address improved controller using dual-loop visual servo which is more effective compared with using single-loop visual servo for stereo vision tracking system. The speed and the accuracy for realizing a real time tracking are important. However, the vision processing speed is too slow to track object in real time by using only vision feedback data. So we use another feedback data from controller parts which offer state feedback ...

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이중 서보 메커니즘을 이용한 초정밀 스테이지에 대한 연구

  • 한창수;김승수;나경환;최현석
    • Proceedings of the Korean Society Of Semiconductor Equipment Technology
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    • 2004.05a
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    • pp.268-271
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    • 2004
  • 반도체 가공공정에서 웨이퍼의 정렬이나 각종 초정밀 가공에서 가공물의 각도를 미체 조정하기 위한 초정밀 메커니즘을 제안하였다. 일반적으로 각도를 결정하는 메커니즘은 기어를 이용한다. 기어를 이용할 경우 회전 분해능을 높일 수 있으나 기어의 백래쉬에 의한 오차가 있어 보다 높은 정밀도를 구현하기가 어렵다. 본 논문에서는 직접구동(direct drive) 방식과 이중서보(dual servo) 방식을 이용하여 기어를 사용하지 않고 회전 스테이지를 구현하였다.

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Real Time Implementation of Visual Servoing Control For Dual-Arm Robot Manipulator

  • Han, Sung-Hyun;Kim, Jung-Soo;Kim, Hong-Rae;Hashmoto, Hideki
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.778-782
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    • 2003
  • This paper presents how it is effective to use many features for improving the speed and the accuracy of the visual servo systems. Some rank conditions which relate the image Jacobian and the control performance are derived. It is also proven that the accuracy is improved by increasing the number of features. Effectiveness of the redundant features is evaluated by the smallest singular value of the image Jacobian which is closely related to the accuracy with respect to the world coordinate system. Usefulness of the redundant features is verified by the real time experiments on a Dual-Arm Robot manipulator made in Samsung Electronic Co. Ltd.

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Measurement of Mechanical Properties of Electroplated Nickel Thin Film for MEMS Application (미소 기전 시스템용 니켈 박막의 기계적 물성 측정)

  • Baek, Dong-Cheon;Park, Tae-Sang;Lee, Soon-Bok;Lee, Nag-Kyu;Choi, Tae-Hoon;Na, Kyoung-Hoan
    • Proceedings of the KSME Conference
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    • 2003.04a
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    • pp.1321-1325
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    • 2003
  • Nickel thin film is one of the most important materials used in micromachined structure. To measure the mechanical properties of electroplated nickel thin film, two techniques are adopted and compared quantitatively with. One is nano-indentation test to measure the elastic modulus. The other is tensile test to measure not only elastic modulus but also yield strength and plastic deformation, ultimate strength. To perform the tensile test, the test apparatus was constructed with linear guided servo motor for actuation, load cell for force measurement and dual microscope for strain measurement.

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A Study on the Torque Control Method of a Hydraulic Actuation System for Measuring the Dynamic Stiffness of Missile Fin Actuators (유도무기용 날개구동기의 동적 강성 측정을 위한 유압 구동장치의 토크제어 기법에 관한 연구)

  • Lee, Ho-Sung
    • Journal of the Korea Institute of Military Science and Technology
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    • v.10 no.3
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    • pp.181-188
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    • 2007
  • This paper presents a torque control method of a hydraulic actuation system for measuring the dynamic stiffness of missile fin actuators. We propose a new control technique called Dual Dynamic Torque Feedback Control(DDTFC), which improves the stability of the torque control system and enables fast tracking of torque command. The developed control scheme is derived from the physical understanding based on mathematical modelling and analysis. The dynamics of hydraulic torque control servo-system is unravelled via physics-based modelling and nonparametric system identification. In order to verify the effectiveness of the method, the experiment is carried out with a test equipment for measuring the dynamic stiffness. The experiment and simulation results show that DDTFC gives stability improvement.

Direct Time-domain Phase Correction of Dual-comb Interferograms for Comb-resolved Spectroscopy

  • Lee, Joohyung
    • Current Optics and Photonics
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    • v.5 no.3
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    • pp.289-297
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    • 2021
  • We describe a comb-mode resolving spectroscopic technique by direct time-domain phase correction of unstable interferograms obtained from loosely locked two femtosecond lasers. A low-cost continuous wave laser and conventional repetition rate stabilization method were exploited for locking carrier and envelope phase of interferograms, respectively. We intentionally set the servo control at low bandwidth, resulting in severe interferograms' fluctuation to demonstrate the capability of the proposed correction method. The envelope phase of each interferogram was estimated by a quadratic fit of carrier peaks to correct timing fluctuation of interferograms in the time domain. After envelope phase correction on individual interferograms, we successfully demonstrated 1 Hz linewidth of RF comb-mode over 200 GHz optical spectral-bandwidth with 10-times signal-to-noise ratio (SNR) enhancement compared to the spectrum without correction. Besides, the group delay difference between two femtosecond pulses is successfully estimated through a linear slope of phase information.

Robust Adaptive Back-stepping Control Using Dual Friction Observer and RNN with Disturbance Observer for Dynamic Friction Model (외란관측기를 갖는 RNN과 이중마찰관측기를 이용한 동적마찰모델에 대한 강인한 적응 백-스테핑제어)

  • Han, Seong-Ik
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.18 no.1
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    • pp.50-58
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    • 2009
  • For precise tracking control of a servo system with nonlinear friction, a robust friction compensation scheme is presented in this paper. The nonlinear friction is difficult to identify the friction parameters exactly through experiments. Friction parameters can be also varied according to contact conditions such as the variation of temperature and lubrication. Thus, in order to overcome these problems and obtain the desired position tracking performance, a robust adaptive back-stepping control scheme with a dual friction observer is developed. In addition, to estimate lumped friction uncertainty due to modeling errors, a DEKF recurrent neural network and adaptive reconstructed error estimator are also developed. The feasibility of the proposed control scheme is verified through the experiment fur a ball-screw system.