• Title/Summary/Keyword: precision motion control

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유한요소법을 이용한 유연로보트팔 운동방정식의 정식화

  • 김창부;유영선
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.10a
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    • pp.233-238
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    • 2001
  • In the design and operation of robot arms with flexible links, the equations of motion are required to exactly model the interaction between rigid motion and elastic motion and to be formulated efficiently. Thus, the flexible link is represented on the basis of the D-H rigid link represented to measure the elastic deformation. The equations of motion of robot arms, which are configured by the generalized coordinates of elastic and rigid degrees of freedom, are formulated by using F.E.M to model complex shaped links systematically and by eleminating elastic mode of higher order that does not largely affect option to reduce the number of elastic degree of freedom. Finally presented is the result of simulation to flexible robotic arm whose joints are controlled by direct or PD control.

The Study on Lateral Motion of Crane Driving Mechanism (크레인 구동부의 Lateral Motion에 관한 연구)

  • 이형우;이성섭;박찬훈;박경택;이만형
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.11a
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    • pp.703-707
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    • 2000
  • This paper studied on the lateral motion of the gantry crane which is used for the automated container terminal. Though several problems are occurred in driving of gantry crane, they are solved by the motion by the operator. But, if the gantry crane is unmanned, it is automatically controlled without any human operation. Especially, the collision between wheel-flange and rail is a very critical problem in driving of unmanned gantry crane. To bring a solution to these problems, the lateral and yaw dynamic equations of the driving mechanism of gantry crane are derived. And this study used PD(Proportional-Derivative) Controller to control the lateral displacement and the yaw angle. The simulation result of the driving mechanism using the Runge-Kutta method is presented in this paper.

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Kinematic Modeling of a Car-like Planar Mobile Robot with Four Fixed Wheels (네 개의 고정 바퀴가 장착된 자동차 구를 평면형 모바일 로봇의 기구학 모델링)

  • Lee, Seung-Eun;Kim, Hui-Guk;Lee, Byeong-Ju
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.7
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    • pp.28-35
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    • 2002
  • This paper deals with kinematic modeling of a car-like planar mobile robot consisting of four conventional fixed wheels attached on two parallel axles. The kinematic model of such a mobile robot requires the description of skidding and sliding frictional motion. Previous kinematic model proposed by Muir and Newman$^{[1]}$ does not include such frictional motions. Thus, does it result in least square solution in estimating a sensed forward velocity solution. A modified kinematic model is proposed by incorporating transnational friction motion into the original algorithm. It is shown that transnational friction motions should be included into kinematic model of the mobile robot to represent its real physical motion.

A Study on the Effects of Motion Errors for Acceleration/Deceleration Types (가감속 형태에 叫른 운동오차의 영향에 대한 연구)

  • 신동수;곽경남;정성종
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.11a
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    • pp.671-677
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    • 1996
  • This paper proposes a study on the effects of motion errors for acceleration/ deceleration types. The proposed motion errors are consisted of two errors : one due to transient response of servomechanism and the other due to gain mismatching of positioning servo motor. They are derived from using laplace transformation for the block diagram of general purpose feed drive system. In order to minimize them, the paper proposes second order polynomial regression model by using orthogonal array method which describes one of experimental methodolgies. The validity and reliability of the study was veri lied on a vertical machining center equipped with FANUC 0MC through a series of experiments and analyses.

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Tracking Performance Improvement of a Magnetic Levitation Based Fine Manipulator (자기부상식 미동 매니퓰레이터의 추종성능 향상)

  • Choi, Kee-Bong;Kim, Soo-Hyun;Kwak, Yoon-Keun
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.5 s.98
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    • pp.58-65
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    • 1999
  • A magnetic levitation system requires a robustness to overcome a dynamic instability due to disturbances. In this paper a robust controller for a magnetically levitated fine manipulator is presented. The proposed controller consists of following two parts: a model reference controller and an $H_{\infty}$ controller. First, the model reference control stabilizes the motion of the manipulator. Then, the motion of the manipulator follows that of the reference model. Second, the $H_{\infty}$ control minimizes errors generated from the model reference control due to noise and disturbance since the $H_{\infty}$ control is a kind of robust control. The experiments of position control and tracking control are carried out by use of the proposed controller under the conditions of free disturbances and forced disturbances. Also, the experiments using PID controller are carried out under the same conditions. The results from above two controllers are compared to investigate the control performances. As the results, it is observed that the proposed controller has similar position accuracy but better tracking performances comparing to the PID controller as well as good disturbance rejection effect due to the robust characteristics of the controller. In conclusion. it is verified that the proposed controller has the simple control structure, the good tracking performances and good disturbance rejection effect due to the robust characteristics of the controller.

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High-Precision Contour Control by Gaussian Neural Network Controller for Industrial Articulated Robot Arm with Uncertainties

  • Zhang, Tao;Nakamura, Masatoshi
    • Transactions on Control, Automation and Systems Engineering
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    • v.3 no.4
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    • pp.272-282
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    • 2001
  • Uncertainties are the main reasons of deterioration of contour control of industrial articulated robot arm. In this paper, a high-precision contour control method was proposed to overcome some main uncertainties, such as torque saturation, system delay dynamics, interference between robot links, friction, and so on. Firstly, each considered factor of uncertainties was introduced briefly. Then proper realizable objective trajectory generation was presented to avoid torque saturation from objective trajectory. According to the model of industrial articulated robot arm, construction of Gaussian neural network controller with considering system delay dynamic, interference between robot links and friction was explained in detail. Finally, through the experiment and simulation, the effectiveness of proposed method was verified. Furthermore, based on the results it was shown that the Gaussian neural network controller can be also adapted for the various kinds of friction and high-speed motion of industrial articulated robot arm.

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