• Title/Summary/Keyword: two DOF robot vehicle

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A Fuzzy PID Control of Robot for Pipes Inspection (관로 검사로봇 자세의 퍼지 PID제어)

  • Kim, Do-Uk;Yang, Hae-Won;Yun, Ji-Seop
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.49 no.8
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    • pp.473-480
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    • 2000
  • A fuzzy PID controller is proposed for the posture control of a two DOF robot vehicle inspecting the defects of the inner wall of sewage pipes. The main difficulty in controlling these kinds of vehicles lies in that the center of two mobile shafts does not coincide with the weight center of the vehicle due to its long and wide shape. In this case the previous controller, based on the assumption that the gap between these centers are small, can not guarantee satisfactory transient response characteristics. In this paper, this gap is included in the mathematical modelling of the robot kinematics, and in order to compensate the unsatisfactory transient response characteristics, the fuzzy PID controller is proposed. This controller tunes the PID control gains with respect to the current state of the errors between the reference and the current postures. A series of simulations has been performed to investigate the tracking performance of the proposed controller for the lane changing path and the robustness to the external disturbance. The simulation results show that the proposed controller has a satisfactory tracking performance in the transient state as compared with that of the backstepping control given in reference.

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Active Control of a Ship Cabin Motion Using 3-DOF Parallel Robots (3자유도 병렬 로붓을 이용한 선실 운동의 능동제어)

  • 배종국;심호석;이재원;주해호
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.1
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    • pp.116-123
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    • 2004
  • The demand for the stable and comfortable cabin of a high speed passenger ship is increasing. The study on shipboard comfort has been mainly concentrated on the motion control of a whole hull body. In this study, however, a new control system operated by two parallel robots (3RPS, 3SPR) such as the active suspension system of motor vehicle is proposed. The goal of this control is keeping zero velocity of the upper robot (cabin) although the lower robot (ship) is moving by the waves. Jacobian matrix was used to design the controller, From the simulation results, the remarkable reduction of motion of the cabin (upper platform) was observed. The 3SPR parallel robot shows better performance compared to the 3RPS robot.

A Adaptive and Fuzzy control of Inspection robot for Underground Pipes (지하매설파이프 검사로봇의 적응퍼지 위치 제어)

  • Kim, Do-Woo;Yang, Hai-Won
    • Proceedings of the KIEE Conference
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    • 1999.11c
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    • pp.670-673
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    • 1999
  • In this paper, we present a robust motion controller based on Adaptive-Fuzzy technique is proposed that multifunctional vehicle(MVR) for two DOF mobile robot can perform detailed inspection of physical conditions of sewage pipes as well as can effectively repair the damaged portions of the inner walls. The main difficulties in controlling this multifunctional robot vehicles lie in the fact that vehicles usually have three degrees of freedom in position and orientation in spite of having only two degrees of freedom for motion control in tracking mode. Decomposition of error between the reference posture and the current posture makes control of speed and steering possible. The Gyro compass part and Inclonometer of the robot is configured in order to realize position of robot. The proposed Adaptive-Fuzzy motion controller has two main characteristics: The one guarantees that the MVR follows the reference trajectory; the other one compensates the dynamics of the MVR. Simulation results are provided to validate the proposed controller. Experiments have been used to verify the effectiveness and robustness of the motion controller.

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Strawberry Harvesting Robot for Bench-type Cultivation

  • Han, Kil-Su;Kim, Si-Chan;Lee, Young-Bum;Kim, Sang-Chul;Im, Dong-Hyuk;Choi, Hong-Ki;Hwang, Heon
    • Journal of Biosystems Engineering
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    • v.37 no.1
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    • pp.65-74
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    • 2012
  • Purpose: An autonomous robot was developed for harvesting strawberries cultivated in bench-type systems. Methods: The harvest robot consisted of four main components: an autonomous vehicle, a manipulator with four degrees of freedom (DOF), an end effector with two DOFs, and a color computer vision system. Strawberry detection was performed based on 3D image and distance information obtained from a stereo CCD color camera and a laser device, respectively. Results: In this work, a Cartesian type manipulator system was designed, including an intermediate revolute axis and a double driven arm-based joint axis, so that it could generate collision-free motions during harvesting. A DC servomotor-driven end-effector, consisting of a gripper and a cutter, was designed for gripping and cutting the strawberry stem without damaging the strawberry itself. Real-time position tracking algorithms were developed to detect, recognize, trace, and approach strawberries under natural light conditions. Conclusion: The developed robot system could harvest a strawberry within 7 seconds without damage.

Experimental Verification of Effectiveness of Stabilization Control System for Mobile Surveillance Robot (기동형 경계로봇 안정화 시스템의 실험적 검증)

  • Kim, Sung-Soo;Lee, Dong-Youm;Kwon, Jeong-Joo;Park, Sung-Ho
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.35 no.4
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    • pp.359-365
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    • 2011
  • A mobile surveillance robot is defined as a surveillance robot system that is mounted on a mobile platform and is used to protect public areas such as airports or harbors from invaders. The mobile surveillance robot that is mounted on a mobile platform consists of a gun module, a camera system module, an embedded control system, and AHRS (Attitude and Heading Reference System). It has two axis control systems for controlling its elevation and azimuth. In order to obtain stable images for targeting invaders, this system requires a stabilizer to compensate any disturbance due to vehicle motion. In this study, a virtual model of a mobile surveillance robot has been created and ADAMS/Matlab simulations have been performed to verify the suitability of the proposed stabilization algorithm. Further, the suitability of the stabilization algorithm has also been verified using a mock-up of the mobile surveillance robot and a 6-DOF (Degree Of Freedom) motion simulator.