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구조화된 수중 환경에서 작업을 위한 PETASUS 시스템 II의 위치 인식 및 자율 제어

Localization and Autonomous Control of PETASUS System II for Manipulation in Structured Environment

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초록

In this paper, a localization algorithm and an autonomous controller for PETASUS system II which is an underwater vehicle-manipulator system, are proposed. To estimate its position and to identify manipulation targets in a structured environment, a multi-rate extended Kalman filter is developed, where map information and data from inertial sensors, sonar sensors, and vision sensors are used. In addition, a three layered control structure is proposed as a controller for autonomy. By this controller, PETASUS system II is able to generate waypoints and make decisions on its own behaviors. Experiment results are provided for verifying proposed algorithms.

Abstract

In this paper, a localization algorithm and an autonomous controller for PETASUS system II which is an underwater vehicle-manipulator system, are proposed. To estimate its position and to identify manipulation targets in a structured environment, a multi-rate extended Kalman filter is developed, where map information and data from inertial sensors, sonar sensors, and vision sensors are used. In addition, a three layered control structure is proposed as a controller for autonomy. By this controller, PETASUS system II is able to generate waypoints and make decisions on its own behaviors. Experiment results are provided for verifying proposed algorithms.

참고문헌 (11)

  1. 최현택, "ROV (원격조종 수중로봇)의 소개와 ROV해미래의 운동 제어 및 신호 처리", 한국정밀공학회지, 26(5), pp.41~47 (2009), 한국정밀공학회
  2. Y. Choi, "Underwater Robot Technology for the Inspection of Nuclear Power Plant", 2006 Fall Workshop of Korea Unmanned Underwater Vehicle (2006)
  3. J. Han, "Development of a small underwater vehicle", manipulator system for underwater manipulation, 2006 (2006), ~
  4. J. Ok, "UUV 3D localization using sensor fusion in structured underwater environment", 2011 Spring Workshop of Korea Unmanned Underwater Vehicle (2011)
  5. J. Han, "Application of Motivation-based Action Selection to Behavior-based Control Architecture for Unmanned Underwater Vehicles", 2010 Spring Workshop of Korea Unmanned Underwater Vehicle (2010)
  6. W. Hall, "Autonomous vehicle software taxonomy", Proceedings of the 1992 symposium on autonomous underwater vehicle technology, pp.49~64 (1992)
  7. P. Ridao, "Recent trends in control architectures for autonomous underwater vehicles", International Journal of Systems Science, 30, pp.1033~1056 (1999)
  8. K. Valavanis, "Control architectures for autonomous underwater vehicles", IEEE Control Systems Magazine, 17(6), pp.48~64 (1997)
  9. Y. Choi, "PID Trajectory Tracking Control for Mechanical Systems" (2004), Springer
  10. J. Ok, "UUV 3D Localization in Structured Underwater Environment for Manipulation", 석사, pp.2011

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