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모바일 로봇 모션 제어에 있어 샘플링 시간의 효과

Effects of the Sampling Time in Motion Controller Implementation for Mobile Robots

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참고문헌

키워드

주제분류산업공학

초록

In this research we investigate motion controller performance for mobile robots according to changes in the control loop samplingtime. As a result, we suggest a proper range of the sample time, which can minimize final posture errors while improving trackingcapability of the controller. For controller implementation into real mobile robots, we use a smooth and continuous motion controller,which can respect robot’s path curvature limitation. We examine motion control performance in experimental tests while changingthe control loop sampling time. Toward this goal, we compare and analyze experimental results using two different mobile robotplatforms; one with real-time control and powerful hardware capability and the other with non-real-time control and limited hardwarecapability.

Abstract

In this research we investigate motion controller performance for mobile robots according to changes in the control loop samplingtime. As a result, we suggest a proper range of the sample time, which can minimize final posture errors while improving trackingcapability of the controller. For controller implementation into real mobile robots, we use a smooth and continuous motion controller,which can respect robot’s path curvature limitation. We examine motion control performance in experimental tests while changingthe control loop sampling time. Toward this goal, we compare and analyze experimental results using two different mobile robotplatforms; one with real-time control and powerful hardware capability and the other with non-real-time control and limited hardwarecapability.

참고문헌 (10)

  1. Flickinger, D.M., "Remote Low Frequency State Feedback Kinematic Motion Control for Mobile Robot Trajectory Tracking", Robotics and Automation, 2007 IEEE International Conference on, pp.3502~3507 (2007)
  2. 김진환, "모바일 로봇의 경로 추종 제어", 전자공학회논문지 - IE, 46(4), pp.73~77 (2009), 대한전자공학회
  3. Kim, Y., "Path manifold-based kinematic control of wheeled mobile robots considering physical constraints", International Journal of Robotics Research, 26(9), pp.955~975 (2007)
  4. Ko, N.Y., "A Probabilistic Approach to Grid-Map Generation for Autonomous Navigation of a Mobile Robot", 280~282 (2009)
  5. Lenain, R., "Off-road mobile robots control : An accurate and stable adaptive approach", Communications, Computing and Control Applications (CCCA), 2012 2nd International Conference on, pp.1~6 (2012)
  6. Otsuka, A., "Measurement of dynamic sampling period of multi mobile robots system with wireless communication", Mechatronics and Automation (ICMA), 2013 IEEE International Conference on, pp.1141~1146 (2013)
  7. 설남오, "SLAM과 수동성 이론을 이용한 모바일 로봇 제어", 한국엔터테인먼트산업학회논문지, 7(1), pp.1~7 (2013), 한국엔터테인먼트산업학회
  8. Son, J.B., "A Study on path planning of an intelligent autonomous mobile robot control using fuzzy control", 115~118 (2010)
  9. Wu, W., "Simulation of Mobile Welding Robot with Variable Structure Control. in Innovative Computing and Communication", 2010 Intl Conf on and Information Technology and Ocean Engineering, 2010 Asia-Pacific Conf on (CICC-ITOE), pp.106~109 (2010)
  10. 양길진, "물리적 제한을 고려한 두 바퀴 로봇의 관절 공간 궤적 생성 방법", 제어.로봇.시스템학회 논문지, 19(6), pp.540~546 (2013), 제어·로봇·시스템학회

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