• Title/Summary/Keyword: Coordinate Control

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AC Servo Motor Controller for Driving Cartesian Coordinate Type Robot Using Neural Networks (신경회로망을 이용한 평면 좌표계형 로봇구동용 교류서보전동기 제어기)

  • 김평호;서진연;김대곤;이강연;백형래
    • Proceedings of the KIPE Conference
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    • 1999.07a
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    • pp.14-17
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    • 1999
  • This paper describes the controller for the improving speed control the AC servo motor. The microprocessor provides an output to the difference in command. The servo system improves the characteristics of speed control. When the motor is running at the same speed as set by the reference signal, the speed encoder also provides a signal the same frequency. Thus, the microprocessor controlled digital techniques enable to realize the flexible performance and control which was possible with time constant. We can know that PI control using neural networks by 80196 can control efficiently speed of AC Servo motor. Finally experimental results prove excellent performance of this control system. The system can be adaptable to CNC machine.

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Development of multi-object image processing algorithm in a image plane (한 이미지 평면에 있는 다물체 화상처리 기법 개발)

  • 장완식;윤현권;김재확
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.555-555
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    • 2000
  • This study is concentrated on the development of hight speed multi-object image processing algorithm, and based on these a1gorithm, vision control scheme is developed for the robot's position control in real time. Recently, the use of vision system is rapidly increasing in robot's position centre. To apply vision system in robot's position control, it is necessary to transform the physical coordinate of object into the image information acquired by CCD camera, which is called image processing. Thus, to control the robot's point position in real time, we have to know the center point of object in image plane. Particularly, in case of rigid body, the center points of multi-object must be calculated in a image plane at the same time. To solve these problems, the algorithm of multi-object for rigid body control is developed.

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Swing-up control of the 2-link rotational pendulum (2축 회전진자의 스윙업제어)

  • 양동훈;유기정;고영길;홍석교
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.371-371
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    • 2000
  • A strategy for the swing-up control according to states of the 2-link rotational pendulum is proposed. The proposed controller consists of two modes of control such as divergence mode and stabilization mode. When the controller is in divergence mode, control input is generated using sinusoidal and signum function to make the first and second links reach the bottom and top positions, respectively. After the controller finishes divergence mode, stabilization mode is initiated to keep the pendulum around the top position using pole-placement method. Dynamic models including actuator dynamics are obtained using coordinate changes at each control mode. Simulation results are given to show the effectiveness of the proposed method.

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A study on an improvement of the robot motion control by the robot ergonomics (Robot Ergonomic에 의한 로보트의 동작제어 개선에 관한 연구)

  • 이순요;권규식
    • Journal of the Ergonomics Society of Korea
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    • v.8 no.2
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    • pp.19-26
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    • 1989
  • This study, as a part of integrated human-robot ergonomics, improves the robot motion control on the robot task in the TOES/WCS whose purpose is improving the teaching task constructed in the previous study. First, the updated combined fuzzy process using a new membership function with Weber's law is constructed for the purpose of coordinate reading of the end points in the macro motion control. Second, an algorithm using the geometric analysis is desinged in order to calculate position values and posture values of the robot joints. Third, the MGSLM method is designed to remove unnecessary the robot motion control caused by the GSLM method in the micro motion control. Consequently, proposed methods in this study lessen burdcn of a human of an improvement of the robot motion control and reduce the teaching time of a human operator and inaccuracy of the teaching task, which contribute to the integrated human-robot ergonomics.

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Control Method for Fault-Tolerant Active Power Filters

  • Zhang, Chenyu;Zheng, Jianyong;Mei, Jun;Deng, Kai;Zhou, Fuju
    • Journal of Power Electronics
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    • v.15 no.3
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    • pp.796-805
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    • 2015
  • New direct and indirect current control methods for a fault-tolerant active power filter topology are presented in this paper. Since a three-phase four-switch topology has a phase bridge current which cannot be directly controlled, a hysteresis control method in the α-β plane which controls the three-phase current in the two-phase stationary coordinate system is proposed. The improved SVPWM algorithm is able to eliminate the operation of the trigonometric functions in the traditional algorithm by rotating the α-β coordinates and alternating the sequence of the output vectors, which in turn simplifies the algorithm and reduces the switching frequency. The selection of the DC-side reference voltage and DC-side capacitor equalization strategy are also discussed. Simulation and experiments demonstrate that the proposed control method is correct and feasible.

Implementation of Real Time Visual Servoing Control for Robot Manipulator

  • Han, Sung-Hyun;Jung, Ding-Yean;Kim, Hong-Rae;Hashmoto, Hideki
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1650-1654
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    • 2004
  • This paper presents how it is effective to use many features for improving the speed and the accuracy of the visual servo systems. Some rank conditions which relate the image Jacobian and the control performance are derived. It is also proven that the accuracy is improved by increasing the number of features. Effectiveness of the redundant features is evaluated by the smallest singular value of the image Jacobian which is closely related to the accuracy with respect to the world coordinate system. Usefulness of the redundant features is verified by the real time experiments on a Dual-Arm Robot manipulator made in Samsung Electronic Co. Ltd.

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Real Time Implementation of Visual Servoing Control For Dual-Arm Robot Manipulator

  • Han, Sung-Hyun;Kim, Jung-Soo;Kim, Hong-Rae;Hashmoto, Hideki
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.778-782
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    • 2003
  • This paper presents how it is effective to use many features for improving the speed and the accuracy of the visual servo systems. Some rank conditions which relate the image Jacobian and the control performance are derived. It is also proven that the accuracy is improved by increasing the number of features. Effectiveness of the redundant features is evaluated by the smallest singular value of the image Jacobian which is closely related to the accuracy with respect to the world coordinate system. Usefulness of the redundant features is verified by the real time experiments on a Dual-Arm Robot manipulator made in Samsung Electronic Co. Ltd.

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Flexible Source Current Reference Generation for Predictive Current Control of Matrix Converter under Unbalanced Input Voltages

  • Nguyen, Thanh-Luan;Lee, Hong-Hee
    • Proceedings of the KIPE Conference
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    • 2016.07a
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    • pp.359-360
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    • 2016
  • This paper presents a new predictive current control (PCC) method to achieve the coordinate control of power and current of the matrix converter under unbalanced input voltages. In order to control the power fluctuation in the input side, the flexible source current reference is generated based on the positive-negative sequence components of the input voltage. The optimal switching state to adjust source and load currents is selected by minimization the cost function which is obtained from the sum of the absolute errors between the current references and their predictive values. Simulation results are given to validate the effectiveness of the proposed PCC method.

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Kinematic Modeling for Position Feedback Control of an 2 - D.O.F Wheeled Mobile Robot (2-자유도 이동 로보트의 위치 궤환제어를 위한 기구학 모델링)

  • 정용욱;박종국
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.4
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    • pp.27-40
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    • 1996
  • This paper proposed a kinematic modeling methodlogy and feedback control system based on kinematics for 2 degrees of freedom of 4-wheeled mobile robot. We assigned coordinate systems to specify the transformation matirx and write the kinematic equation of motion. We derived the actuated inverse and sensed forwared solution for the calculation of actual robot orientation and the desired robot orientation. It is the most significant error and has the largest impact on the motion accuracy. To calculate the WMR position in real time, we introduced the dead-reckoning algorithm and composed two feedback control system that is based on kinematics. Through the simulation result, we compare with the ffedback control system for position control.

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A Study on Development of ATCS for Automated Stacking Crane using Neural Network Predictive Control

  • Sohn, Dong-Seop;Kim, Sang-Ki;Min, Jeong-Tak;Lee, Jin-Woo;Lee, Kwon-Soon
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.346-349
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    • 2003
  • For a traveling crane, various control methods such as neural network predictive control and TDOFPID(Two Degree of Freedom Proportional Integral Derivative) are studied. So in this paper, we proposed improved navigation method to reduce transfer time and sway with anti-collision path for avoiding collision in its movement to the finial coordinate. And we constructed the NNPPID(Neural Network Predictive PID) controller to control the precise move and speedy navigation. The proposed predictive control system is composed of the neural network predictor, TDOFPID controller, and neural network self-tuner. We analyzed ASC(Automated Stacking Crane) system and showed some computer simulations to prove excellence of the proposed controller than other conventional controllers.

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