• Title/Summary/Keyword: Odometer

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Path control of a mobile robot 'KMR-2' using odometer system (거리계를 이용한 이동로보트 'KMR-2'의 경로주행제어에 관한 연구)

  • 조형석;이대업;이종원
    • 제어로봇시스템학회:학술대회논문집
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    • 1988.10a
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    • pp.142-147
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    • 1988
  • Free-path-type guidance system does not need a hardwired path in the environment so that it gives a mobile robot a flexible path. ln this study to achieve the free-path-type guidance system for a mobile robot which is steered by the differential steering of both drive forewheels, position recognition systems are constructed using odometer system as an internal position sensor. Two odometer systems, a auxiliary wheel odometer and a 2-encoder odometer system are constructed and path following algorithms using these odometer systems are designed and experimented. PID control type is adopted in the path following algorithms.

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Development of the Odometer System for the Intelligent Pig (인텔리전트 피그를 위한 주행거리계의 개발)

  • Park, S.S.;Kim, D.K.;Yoo, H.R.;Cho, S.H.;Park, D.J.;Koo, S.J.;Rho, Y.W.;Lee, J.G.;Hong, H.S.;Seo, J.W.;Park, C.G.
    • Proceedings of the KSME Conference
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    • 2001.06b
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    • pp.222-227
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    • 2001
  • This paper introduces the spring-mounted odometer system which maintains the correct contact with the pipe wall and measures the distance along the pipe. The odometer wheel is designed to keep contact to the pipelines inner wall and to generate fifty rectangular pulses per one turn(l59.5681mm) during pigging. The pipeline has the defects in various types such as buckles, winkles, cracks, dents, welding point and so on. Specially, girth welding points which exist each 12m of the pipeline, much affects the operational environment of the odometer. The measurement error of the distance along the pipe is accumulated, for the measurement error of wheel's circumference and the pipeline inner environment. So, this paper proposes the method for the error compensation based on the analysis of the odometer's behavior around the girth welding point of pipe. The experimental results show that developed odometer system can be used for the intelligent pig with good performances.

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Implementation of Vehicle Navigation System using GNSS, INS, Odometer and Barometer

  • Park, Jungi;Lee, DongSun;Park, Chansik
    • Journal of Positioning, Navigation, and Timing
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    • v.4 no.3
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    • pp.141-150
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    • 2015
  • In this study, a Global Navigation Satellite System (GNSS) / Inertial Navigation System (INS) / odometer / barometer integrated navigation system that uses a commercial navigation device including Micro Electro Mechanical Systems (MEMS) accelerometer and gyroscope in addition to GNSS, odometer information obtained from a vehicle, and a separate MEMS barometer sensor was implemented, and the performance was verified. In the case of GNSS and GNSS/INS integrated navigation system that are generally used in a navigation device, the performance would deteriorate in areas where GNSS signals are not available. Therefore, an integrated navigation system that calculates a better navigation solution in areas where GNSS signals are not available compared to general GNSS/INS by correcting the velocity error of GNSS/INS using an odometer and by correcting the cumulative altitude error of GNSS/INS using a barometer was suggested. To verify the performance of the navigation system, a commercial navigation device (Softman, Hyundai Mnsoft, http://www.hyundai-mnsoft.com) and a barometer sensor (ST Company) were installed at a vehicle, and an actual driving test was performed. To examine the performance of the algorithm, the navigation solutions of general GNSS/INS and the GNSS/INS/odometer/barometer integrated navigation system were compared in an area where GNSS signals are not available. As a result, a navigation solution that has a smaller position error than that of GNSS/INS could be obtained in the area where GNSS signals are not available.

Development and Measurement Error Compensation of Odometer System for Intelligent PIG (인텔리전트 피그를 위한 주행거리계의 개발 및 측정오차 보상)

  • Kim D.K.;Park S.S,;Cho S.H.;Yoo H.R.;Park D.J.;Koo S.J.;Rho Y.W.;Kho Y.T
    • Journal of the Korean Institute of Gas
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    • v.6 no.1 s.17
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    • pp.17-23
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    • 2002
  • This paper introduces the spring-mounted odometer system which maintains the correct contact with the pipe wall and measures the distance along the pipe. The odometer wheel is designed to keep contact to the pipelines inner wall and to generate fifty rectangular pulses per one turn(159.5681mm) during pigging. The pipeline has the defects in various types such as buckles, winkles, cracks, dents, welding point and so on. Specially girth welding points which exist each 12m of the pipeline, much affects the operational environment of the odometer. The measurement error of the distance along the pipe is accumulated, for the measurement error of wheel's circumference and the pipeline inner environment. So, this paper proposes the method for the error compensation based on the analysis of the odometer's behavior around the girth welding point of pipe. The experimental results show that developed odometer system can be used for the intelligent pig with good performances.

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Lever Arm Compensation for GPS/INS/Odometer Integrated System

  • Seo Jae-Won;Lee Hyung-Keun;Lee Jang-Gyu;Park Chan-Gook
    • International Journal of Control, Automation, and Systems
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    • v.4 no.2
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    • pp.247-254
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    • 2006
  • For more accurate navigation, lever arm compensation is considered. The compensation method for GPS and an odometer is introduced and new compensation methods are proposed for an odometer to consider the effect of coordinate transformation errors and the scale factor error. The methods are applied to a GPS/INS/odometer integrated system and the simulation and experimental results show its effectiveness.

Odometer Error Compensation Scheme for Velocity-Aided Strapdown Inertial Navigation System : The Case of Torpedo (속도보정 스트랩다운 관성항법장치의 속도계오차 처리기법 : 수중항체의 경우)

  • Lee, Youn-Seon;Chung, Tae-Ho;Lyou, Joon
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.401-406
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    • 1992
  • When a velocity-aided strapdown inertial navigation system is loaded into a torpedo subjected to an extraneous force by the current, odometer measurement errors occur seriously. In order to compensate for navigation errors induced by large odometer biases, the Kalman Filter with separate bias estimator is applied, which separately estimates an unknown bias, and corrects the state estimate produced by the bias-free Kalman Filter to reflect the effect of the bias estimate.

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Cooperative Localization in 2D for Multiple Mobile Robots by Optimal Fusion of Odometer and Inexpensive GPS data (다중 이동 로봇의 주행 계와 저가 GPS 데이터의 최적 융합을 통한 2차원 공간에서의 위치 추정)

  • Jo, Kyoung-Hwan;Lee, Ji-Hong;Jang, Choul-Soo
    • The Journal of Korea Robotics Society
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    • v.2 no.3
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    • pp.255-261
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    • 2007
  • We propose a optimal fusion method for localization of multiple robots utilizing correlation between GPS on each robot in common workspace. Each mobile robot in group collects position data from each odometer and GPS receiver and shares the position data with other robots. Then each robot utilizes position data of other robot for obtaining more precise estimation of own position. Because GPS data errors in common workspace have a close correlation, they contribute to improve localization accuracy of all robots in group. In this paper, we simulate proposed optimal fusion method of odometer and GPS through virtual robots and position data.

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Mobile robot localization using an active omni-directional range sensor (전방향 능동거리 센서를 이용한 이동로봇의 자기위치 추정)

  • 정인수;조형석
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1597-1600
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    • 1997
  • Most autonomous mobile robots view things only in front of them. As a result they may collide against objects moving from the side or behind. To overcome the problem we have built an Active Omni-directional Range Sensor that can obtain omni-directional depth data by a laser conic plane and a conic mirror. Also we proposed a self-localization algorithm of mobile robot in unknown environment by fusion of Odometer and Active Omn-directional Range Sensor.

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