• Title/Summary/Keyword: Automation measurement system

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Testbed development for automation of performance evaluation to cleaning robot (청소용 로봇의 성능평가 자동화를 위한 Testbed 개발)

  • Shin I.S.;Moon S.B.;Park K.H.;Nam S.H.;Jang S.P.;Ji Y.I.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.1024-1027
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    • 2005
  • This paper describes the performance index of mobile robot and development of testbed which is used to evaluate the index. The developed testbed has rectangular structure similar to a living room of home. It is semi-automation testbed system for evaluation of cleaning performance index. This system is composed with scattering and cleaning equipment of test materials, equipment rifting of objects in inner space and sides itself, vision processing system. To be consistent of performance evaluation of cleaning robot, we make use of camera in this system for the sake of measurement of robot s mobility, path and suction quantity.

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Sensor Fault Detection, Localization, and System Reconfiguration with a Sliding Mode Observer and Adaptive Threshold of PMSM

  • Abderrezak, Aibeche;Madjid, Kidouche
    • Journal of Power Electronics
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    • v.16 no.3
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    • pp.1012-1024
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    • 2016
  • This study deals with an on-line software fault detection, localization, and system reconfiguration method for electrical system drives composed of three-phase AC/DC/AC converters and three-phase permanent magnet synchronous machine (PMSM) drives. Current sensor failure (outage), speed/position sensor loss (disconnection), and damaged DC-link voltage sensor are considered faults. The occurrence of these faults in PMSM drive systems degrades system performance and affects the safety, maintenance, and service continuity of the electrical system drives. The proposed method is based on the monitoring signals of "abc" currents, DC-link voltage, and rotor speed/position using a measurement chain. The listed signals are analyzed and evaluated with the generated residuals and threshold values obtained from a Sliding Mode Current-Speed-DC-link Voltage Observer (SMCSVO) to acquire an on-line fault decision. The novelty of the method is the faults diagnosis algorithm that combines the use of SMCSVO and adaptive thresholds; thus, the number of false alarms is reduced, and the reliability and robustness of the fault detection system are guaranteed. Furthermore, the proposed algorithm's performance is experimentally analyzed and tested in real time using a dSPACE DS 1104 digital signal processor board.

The Development and Evaluation of OMM(On the Machine Measuring) System Using Scanning Probe (Scanning Probe를 이용한 OMM(On the Machine Measuring) 시스템 개발 및 평가)

  • Kim, S.H.;Kim, I.H.
    • Journal of the Korean Society for Precision Engineering
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    • v.13 no.10
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    • pp.71-77
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    • 1996
  • This paper describes the development of on the machine measuring(OMM) system which can directlry measure the three dimensional machined dimensilnal accuracy using scanning probe in milling machine. Two algolithms, continuous path(CP) measurement using UC program and CAD data assisted point to point(PTP) measurement, were developed regarding specification of scanning probe. The OMM system was contructed to verify the developed system suing the proposed algorithm, and actually measured three kinds of machined TV shadow mask molds. The developed system was evaluated it's repeatability and compared with the current measurement system of CMM(Coording Measuring Machine) in terms of relative accuracy and time reduction and productivity increase.

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Composition and Automation of Electrical Property Measurement System for Thin Films (박막의 전기적 특성평가를 위한 측정 시스템의 구성 및 자동화)

  • 구경완;황문수;천희곤
    • Journal of the Korean Vacuum Society
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    • v.1 no.3
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    • pp.371-375
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    • 1992
  • Low cost, PC controlled electrical property measurement systems were constructed to study thin film characteristics such as ; I-V, C-V, C-t, and low current. In addition, a GPIB card and C language program for data control and analysis were made for this study.

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The Study on the Surface Roughness Measurement by Using Scattered Lights (산란광을 이용한 표면 거칠기측정에 관한 연구)

  • 강효석;임한석;정해도;안중환
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.11a
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    • pp.464-468
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    • 1996
  • To evaluate the surface integrity of machined products such as die, the surface roughness measurement is being much used. Especially, for machining automation and promotion of productivity, the surface roughness measurement technique changes from sepatate measuring system after machining process to the on-the-machine measurement. This study is on the surface roughness measurement by using scattered lights for on-the-machine measurement. This system is designed with a simple optical construction. And experiments are implemented with standard roughness specimen to obtain the parameters which are specularly reflected region parameter and diffusely reflected region parameter. To determine the surface roughness quickly, neural network is used. And this system gives the possibility to apply to the various production processes.

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Automatic Extraction and Measurement of Visual Features of Mushroom (Lentinus edodes L.) (표고 외관 특징점의 자동 추출 및 측정)

  • Hwang, Heon;Lee, Yong-Guk
    • Journal of Bio-Environment Control
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    • v.1 no.1
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    • pp.37-51
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    • 1992
  • Quantizing and extracting visual features of mushroom(Lentinus edodes L.) are crucial to the sorting and grading automation, the growth state measurement, and the dried performance indexing. A computer image processing system was utilized for the extraction and measurement of visual features of front and back sides of the mushroom. The image processing system is composed of the IBM PC compatible 386DK, ITEX PCVISION Plus frame grabber, B/W CCD camera, VGA color graphic monitor, and image output RGB monitor. In this paper, an automatic thresholding algorithm was developed to yield the segmented binary image representing skin states of the front and back sides. An eight directional Freeman's chain coding was modified to solve the edge disconnectivity by gradually expanding the mask size of 3$\times$3 to 9$\times$9. A real scaled geometric quantity of the object was directly extracted from the 8-directional chain element. The external shape of the mushroom was analyzed and converted to the quantitative feature patterns. Efficient algorithms for the extraction of the selected feature patterns and the recognition of the front and back side were developed. The developed algorithms were coded in a menu driven way using MS_C language Ver.6.0, PC VISION PLUS library fuctions, and VGA graphic functions.

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A Novel Filtering Method Based on a Nonlinear Tracking Differentiator for the Speed Measurement of Direct-drive Permanent Magnet Traction Machines

  • Wang, Gaolin;Wang, Bowen;Zhao, Nannan;Xu, Dianguo
    • Journal of Power Electronics
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    • v.17 no.2
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    • pp.358-367
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    • 2017
  • This paper presents a novel filtering method for speed measurements to improve the low-speed performance of the direct-drive permanent magnet traction machines for elevators. Based on the theory of nonlinear tracking differentiator (NTD), this method, which can act as a high performance filter of a raw speed signal, obtains a more accurate speed feedback signal when applying a low-resolution encoder. In addition, it can relieve the interference caused by the position derivative for speed sampling. By analyzing the frequency response of the NTD, the influence of its parameters on the performance of the speed filtering is investigated. Compared with different types of low-pass filters, the proposed method shows a shorter time delay and a stronger ability in terms of noise suppression when the parameters are selected carefully. In addition, when using the measured speed signal through a nonlinear tracking differentiator as the feedback of the system, the motor runs more steadily at low speeds. As a result, the riding comfort of a direct-drive elevator can be improved. The feasibility of the proposed strategy was verified on an 11.7kW elevator traction machine using a commercial inverter.

EGI Velocity Integration Algorithm for SAR Motion Measurement

  • Lee, Soojeong;Park, Woo Jung;Park, Yong-gonjong;Park, Chan Gook;Song, Jong-Hwa;Bae, Chang-Sik
    • Journal of Positioning, Navigation, and Timing
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    • v.8 no.4
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    • pp.175-181
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    • 2019
  • This paper suggests a velocity integration algorithm for Synthetic Aperture Radar (SAR) motion measurement to reduce discontinuity of range error. When using position data from Embedded GPS/INS (EGI) to form SAR image, the discontinuity of the data degrades SAR image quality. In this paper, to reduce the discontinuity of EGI position data, EGI velocity integration is suggested which obtains navigation solution by integrating velocity data from EGI. Simulation shows that the method improves SAR image quality by reducing the discontinuity of range error. INS is a similar algorithm to EGI velocity integration in the way that it also obtains navigation solution by integrating velocity measured by IMU. Comparing INS and EGI velocity integration according to grades of IMU and GPS, EGI velocity integration is more suitable for the real system. Through this, EGI velocity integration is suggested, which improves SAR image quality more than existing algorithms.

A Two-Dimensional Position Sensor Using Cable Extension Transducers (케이블센서를 이용한 2차원 위치측정 시스템)

  • Hong, Dae-Hie
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.9
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    • pp.159-165
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    • 1999
  • Based on the cable-extension transducers, a new technique for two dimensional position measurement is developed in this paper. This new technique includes the use of two such transducers and the planar position is determined through triangulation. This paper also presents uncertainty analysis results for establishing sensor design specifications. An actual prototyped sensor system is built and its accuracy is verified through h\both experiments with coordinate measurement machines and its application to the real-time control of a high load wheeled mobile robot. This new type of position sensor can be easily used in a wide variety of automation applications in industry for two dimensional position measurements with high accuracy over a relatively large range, and it is both cast effective and robust against hostile environments.

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INTEGRATED CONTROL SYSTEM DESIGN OF ACTIVE FRONT WHEEL STEERING AND FOUR WHEEL TORQUE TO IMPROVE VEHICLE HANDLING AND STABILITY

  • Wu, J.Y.;Tang, H.J.;Li, S.Y.;Zheng, S.B.
    • International Journal of Automotive Technology
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    • v.8 no.3
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    • pp.299-308
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    • 2007
  • This study proposes a two-layer hierarchical control system that integrates active front wheel steering and four wheel braking torque control to improve vehicle handling performance and stability. The first layer is a robust model matching controller (R-MMC) based on linear matrix inequalities (LMIs), which optimizes an active front steering angle compensation and a desired yaw moment control, and calculates reference wheel slip for the target wheel according to the desired yaw moment. The second layer is a moving sliding mode controller (MSMC) that can track the reference wheel slip in a predetermined time by commanding proper braking torque on the target wheel to achieve the desired yaw moment. Since vehicle sideslip angle measurement is difficult to achieve in practice, a sliding mode observer (SMO) that requires only vehicle yaw rate as the measured input is also developed in this study. The performance and robustness of the SMO and the integrated control system are demonstrated through comprehensive computer simulations. Simulation results reveal the satisfactory tracking ability of the SMO, and the superior improved vehicle handling performance, stability and robustness of the integrated control vehicle.