• Title/Summary/Keyword: 무인운반차

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A simulation code generator for AGVS design (무인운반차시스템의 설계를 위한 시뮬레이션 코-드 작성시스템)

  • 김갑환;김판수;배종욱
    • Korean Management Science Review
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    • v.11 no.1
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    • pp.1-21
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    • 1994
  • We usually use the simulation technique in the evaluation and the test of a design alternative of Automated Guided Vehicle System. In this paper, we introduce a simulation code generator which can assist simulation programmer in model development and programming. It consists of user interface, program editor, and program sorter. SIMAN is used as the target language.

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Positioning Accuracy Improvement of Analog-type Magnetic Positioning System using Fuzzy Inference System (퍼지 추론 시스템을 이용한 아날로그형 자기위치 장치의 위치 정밀도 향상)

  • Kim, Jung-Min;Jung, Kyung-Hoon;Jung, Eun-Kook;Cho, Hyun-Hak;Kim, Sung-Shin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.3
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    • pp.367-372
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    • 2012
  • This paper presents a development of an analog type magnetic positioning system and its positioning accuracy improvement using fuzzy inference system. As the magnetic positioning system used on a magnet-gyro guidance system for AGV(automatic guided vehicle), it measures a position of magnet embedded in floor of the work place. The existing product of the magnetic positioning system is very expensive in Korea because it is being sold in a foreign country exclusively. Moreover, the positioning accuracy of the product is low because it uses digital type unipolar hall sensors. Hence, we developed the magnetic positioning system by ourselves and improved the positioning accuracy of the developed magnetic positioning system using fuzzy inference system. For experiment, we used the analog type magnetic positioning system which we have developed, and compared the performance of the proposed method with the performance of the existing positioning method for the magnetic positioning system. In experimental results, we verified that the proposed method improved the positioning accuracy of the magnetic positioning system.

적응적 고차상관 처리를 이용한 차량의 주행궤적 검출계

  • 장경영;오재응
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.10a
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    • pp.169-173
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    • 2001
  • 무인 운반차 등의 주행괘적을 검출하기 위해서는, 일반적으로 순간적인 주행속도와 진행방향을 축차적으로 검출하여 이로부터 궤적을 측정하는 방법이 이용되어져 왔으며, 이를 위하여 종래에는 타코미터, 2차 상관법, 공간 필터법 등과 같은 속도 계측 수단과 스티어링 각도 검출기, 자이로등의 회전각 검출 수단을 병용하여야 했다. 본 논문에서는 복수개의 광 선 검출기 군과 이에 대응하는 고차의 상관처리를 이용한 단일계로서 차량의 임의의 궤적을 원호로 근사하여 검출함으로써 곡선 궤적인 경우에도 고정도의 궤적추정이 가능한 새로운 계측법을 제안한다.

Analysis of the Travel Distance in the Multiple-load Carrying Automated Guided Vehicle Systems (다부하를 운반하는 무인운반차시스템에서 운반거리의 분석)

  • Chang Suk-Hwa
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.28 no.1
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    • pp.55-63
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    • 2005
  • This paper is to analyze the travel distance and the transport size of the vehicle when the AGV carries multiple-load in the tandem automated guided vehicle systems. The size of multiple-load represents the number of load that the AGV can carry simultaneously. The AGV can carry simultaneously multiple-load that load types are different. The transport system of the manufacturing system is a tandem configuration automated guided vehicle system, which is based on the partitioning of all the stations into several non-overlapping single closed loops. Each loop divided has only one vehicle traveling unidirectionally around it. The AGV of each loop has to have sufficient transport capacity that can carry all loads for given unit time. In this paper, the average loaded travel distance and the size of feasible multiple-load of the vehicle are analyzed. A numerical example is shown.

Driving Control of Automated Guided Vehicle Using Centroid of Gravity Method (무게중심법을 이용한 무인 운반차(AGV)의 운전제어)

  • Tack, Han Ho;Kwon, Sung Gab
    • Journal of Korea Society of Industrial Information Systems
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    • v.19 no.2
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    • pp.59-66
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    • 2014
  • AGV is most often used for the automation of freight transportation in the manufacturing industry or the distribution warehouses. AGV is fairly costly and used in goods transport between the determined location. The main control device dedicated to AGV is often autonomously developed for simplification using PLC in industry field. However, AGV developed for simplification makes many errors in traffic because it is developed for the limited simple function. Control device dedicated to AGV has been developed to solve the problem but it is almost impossible to revise the device according to the character and structure of every manufacturing industry. The purpose of this study is to propose the design method of the control system interlocked with PLC and dedicated to AGV. The control system should be to improve the problem of traffic rolling and possible to be revised according to the character of factory. It is apparent the proposed AGV system is efficient in operation in the result of several traffic performance analysis through the tests.

Development of a Self-Travelling Sprayer for a Greenhouse (I) - Self-travelling - (시설원예용 파이프 유도식 무인방제기 개발 (I) - 무인 주행시스템 -)

  • 김태한;장익주;강춘태
    • Journal of Biosystems Engineering
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    • v.24 no.3
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    • pp.209-216
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    • 1999
  • A self-travelling sprayer was developed to avoid the exposure of an operator to agricultural chemicals and exhaust gas, to improve safety and to increase working efficiency during the application and transport work in the greenhouses. This system consists of self-travelling system and the control system for application and safety device. The auto-spray car is equipped with a liquid chemical tank of 80l capacity. The travelling system adopted mechanical steering system which link mechanism of front wheel is guided by guide rollers. The sprayer travels along the guiding pipe which is set on the furrow in the greenhouses. The sprayer stops automatically applying and traveling when the liquid chemical tank becomes empty or when the sprayer reach the turning point. The spray booms swings in a vertical plane. The control system of safety devices controls the automatic stop of the sprayer when there is an obstacle on the traveling path, or when the battery becomes discharged. The auto-spray car traveled smoothly and steadily along the guide pipe during traveling straightly and turning on the ground.

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Battery Pack and Management System for Automated Guided Vehicle (AGV용 배터리 팩 및 관리시스템)

  • Nam, Jong-ha;Kang, Duk-ha;Hwang, Ho-seok;Park, Chan-hi;Lee, Heui-kwan;Park, Min-kee
    • Proceedings of the KIPE Conference
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    • 2011.07a
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    • pp.138-139
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    • 2011
  • 무인 운반차(AGV, Automated Guided Vehicle)은 1955년에 개발된 자재 운반용 무인운송 시스템으로 초기에는 제조 현장에서 자재의 운송에 국한되어 사용되었다. 최근에는 창고, 컨테이너 터미널 그리고 지하공간에서의 반복되는 실내/외 운송으로까지 그 사용이 확산되고 있다. AGV는 제조현장에서 제조 공정과 관련된 모든 자재의 이송에 적용되고 반복되는 운송의 형태에 사용되며, 실내 용도로는 수입, 저장, 분류, 반출, 이송과 공정 간의 파레트(Pallet) 이송에 사용되며, 비교적 작은 용량의 AGV가 이러한 제조현장에서 산업용도에 쓰이고 있다. AGV는 실내에서 주로 사용되는 환경적 특성상 배터리를 사용하며, 충전하거나 교환하여야 하며, 이에 소요되는 시간이 시스템의 성능에 큰 영향을 미친다. 대부분의 제조현장이나 배송센터에서 AGV는 비교적 짧은 거리를 운행하므로 대기 시간 중에 배터리를 충전하거나 교환이 가능하다. 하지만 비교적 장거리를 운행하는 시스템에서는 AGV의 가동률을 50% 이하로 유지하거나 온라인 충전 시스템을 구비하여야만 배터리 전압 강하에 의한 시스템의 마비를 예방할 수 있다.

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Design of 64-Bit Guide Sensor for Automatic Guided Vehicle (무인운반차용 16비트 가이드 센서 설계)

  • Lee, Ju-Won;Cho, Su-Hyeon;Lee, Dong-Chang;Kang, Seong-In
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.915-916
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    • 2015
  • The main sensor of AGV is the guide sensor in order to detect the path, and the sensor consists of 8 or 16-magneto resistance devices arranged by with 10mm. In controlling the AGV posture by using the sensor, AGV is occurred left/right shaking frequently. So, for driving stability of AGV, An accuracy of the sensor should be improved. Therefore, this study proposed sensor signal processing method to improve accuracy of guide sensor, and implemented. The accuracy of sensor in experimentation showed 2.84[mm]. In designing the sensor for controlling AGV posture, the proposed method will be effective.

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Improvement of Bipolar Magnetic Guidance Sensor Performance using Fuzzy Inference System (양극성 자기유도센서의 성능 향상을 위한 퍼지 추론 시스템)

  • Park, Moonho;Cho, Hyunhak;Kim, Kwangbaek;Kim, Sungshin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.1
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    • pp.58-63
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    • 2014
  • Most of light duty AGVs(AGCs) using tape of magnetic for the guide path have digital guidance magnetic sensor. Digital guidance magnetic sensor using magnet-tape is on/off type and has positioning error of magnet-tape as 10~50 mm. AGC using this sensor doesn't induce accurate position of magnet-line which is magnet-tape because of magnetic field which motor in AGC creates, outer magnetic field, earth's magnetic field, etc. AGC when driving wobbles due to this error and this error can cause path deviation. In this paper, we propose fuzzy inference system for improvement of bipolar analog magnetic guidance sensor performance. Fuzzy is suitable in term of fault tolerance, uncertainty tolerance, real-time operation, and Nonlinearity as compared with other algorithms. In previous research, we produced bipolar magnetic guidance sensor and we set the threshold in order to calculate digital values of magnet position. Fuzzy inference system is designed using outputs of Analog hall sensors. Magnet position calculated by digital method is improved by outputs of this system. In result, proposed method was verified by improving performance of magnetic guidance sensor.

Determination of Guide Path of AGVs Using Genetic Algorithm (유전 알고리듬을 이용한 무인운반차시스템의 운반경로 결정)

  • 장석화
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.26 no.4
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    • pp.23-30
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    • 2003
  • This study develops an efficient heuristic which is based on genetic approach for AGVs flow path layout problem. The suggested solution approach uses a algorithm to replace two 0-1 integer programming models and a branch-and-bound search algorithm. Genetic algorithms are a class of heuristic and optimization techniques that imitate the natural selection and evolutionary process. The solution is to determine the flow direction of line in network AGVs. The encoding of the solutions into binary strings is presented, as well as the genetic operators used by the algorithm. Genetic algorithm procedure is suggested, and a simple illustrative example is shown to explain the procedure.