• Title/Summary/Keyword: Manipulator Control

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A New Concept of Manipulator Modeling

  • Roh, Ho-Sik;Kim, Jin-Oh
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.2546-2550
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    • 2003
  • We propose a new method of robot manipulator modeling. Different from existing modelers, our modeler provides a convenient robot modeling configured from modules from module library or module modeling. In addition, a way of using D-H parameters to configure a robot is proposed. These additional functions of robot modeling can be a powerful and flexible tool for various needs of robot modeling. We show an example of modeling with our approach.

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진화 알고리즘에 의한 로봇 매니퓰레이터의 최적 궤적 제어 (Optimal trajectory control for robot manipulator using evolutionary algorithm)

  • 김기환;박진현;최영규
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.1181-1184
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    • 1996
  • As usual systems, robot manipulators have also physical constraints for operating. It is a difficult problem that we operate manipulator in the minimal time under these constraints. In this paper, we solve this problem dividing it into two steps. In the first step, we find the minimal time trajectories by optimizing qubic polynomial joint trajectories using evolutionary algorithms. In the second step, we optimize controller for robot manipulator to track precisely trajectories optimized in the previous step.

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여유자유도를 가진 로보트의 pre-multiplier모델에 관한 연구 (A study on the pre-multiplier model for redundant manipulator)

  • 정완균;김진오
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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    • pp.127-130
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    • 1989
  • The redundant manipulator extends the application fields of classical nonredundant manipulators. In this paper, we propose Premultiplier Model that describes the static behavior of redundant manipulator. This model provides insight and intuition about algebra and physics related to redundant manipulators. Active operational space stiffness control of redundant manipulators is proved to be always unstable and we propose a technique, based on our methodology, to make stiffness control stable.

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원자력시설내의 원격 제어 로보트 시스템 개발 (Development of the remote controlled robotic system in nuclear facilities)

  • 황석용;손석원;김승호;이종민
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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    • pp.230-234
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    • 1989
  • This paper presents the design of a prototype robot and architecture of a distributed control system. The robot, named as KAEROT, has been developed for the purpose of the reduction of personal radiation exposure and the remote maintenance tasks in nuclear facilities. The mobile system with robotic manipulator has been designed to go up and down stairs. For the dextrous handling, this manipulator will be designed as a redundant type to act like a human arm. Manipulator control system is to be extended easily for further usage with a modular architecture to get independency and reliability by minimizing EMI effects.

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회전 관절형 로봇 매니플레이터의 강인제어 (Robust Control of a Robot Manipulator with Revolute Joints)

  • 신규현;이수한
    • 한국정밀공학회지
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    • 제20권9호
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    • pp.77-83
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    • 2003
  • In this paper, a robust controller is proposed to control a robot manipulator which is governed by highly nonlinear dynamic equations. The controller is computationally efficient since it does not require the dynamic model or parameter values of a robot manipulator. It, however, requires uncertainty bounds which are derived by using properties of revolute joint robot dynamics. The stability of the robot with the controller is proved by Lyapunov theory. The results of computer simulations show that the robot system is stable, and has excellent trajectory tracking performance.

로봇 매니퓰레이터를 위한 RTOS 기반 동력학 제어기의 구현 및 성능평가 (Implementation and Permance Evaluation of RTOS-Based Dynamic Controller for Robot Manipulator)

  • 임동철;국태용
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 추계종합학술대회 논문집
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    • pp.716-719
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    • 1999
  • In this paper, a real-time control system for robot manipulator is implemented using real-time operating system with capabilities of multitasking, intertask communication and synchronization, event-driven, priority-driven scheduling, real-time clock control, etc. The hardware system with VME bus and related devices is developed and applied to implement a dynamic learning control scheme for robot manipulator. Real-time performance of the proposed dynamic learning controller is tested for tasks of tracking moving objects and compared with the conventional servo controller.

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직접구동식 스카라 로봇의 개발 및 개인용 컴퓨터를 이용한 기초 힘/운동 제어 (Development of a Direct Drive Scara Robot Manipulator and PC-Based Preliminary Force/Motion Control)

  • Kim, D.H.;Park, D.Y.;Park, H.S.
    • 한국정밀공학회지
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    • 제12권10호
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    • pp.25-31
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    • 1995
  • In this paper, a direct drive scalar robot manipulator is constructed and its mechanical machanism for operation is explained. Also, a motion controller board for the direct drive robot manipulator was developed where the IBM 486 computer is the main controller. For the developed direct drive robot, a force/motion control algorithm based on an active compliance scheme is developed. A preliminary experiment using the developed direct drive for a peg-in-hole job was done by implementing the control algorithm.

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Two-dimensional object contour tracking by a force controlled manipulator

  • Choi, Myoung-Hwan;Ko, Myoung-Sam;Lee, Bum-Hee
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집(한일합동학술편); 한국과학기술대학, 충남; 16-17 Oct. 1987
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    • pp.892-897
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    • 1987
  • The ability of a robotic manipulator to recognize the shape of an object by feeling its band around the object is useful in many applications. Two-dimensional object contour tracking by force feedback is described. The system consists of IBM PC/AT, PUMA 560 manipulator, PUMA controller and a tip sensor. Position control is accomplished by using VAL command and the unmodified PUMA controller. A contour tracking algorithm is developed and tested on three different types of objects. The experimental results show that the objects' shapes can be successfully identified.

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Observer Based Sensorless Rorce Control of Robot Manipulator

  • Suh, Il-Hong;Eom, Kwang-Sik;Lee, Chang-Eun
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.803-806
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    • 1997
  • In this paper, a force estimation method is proposed for the sensorless force control. For this, a disturbance observer is applied to each joint of an n degrees of freedom manipulator to obtain a simple equivalent robot dynamics(SERD) being represented as an n independent double integrator system. To estimate the output of disturbance observer in the absence of external force, the observer estimator is designed, where the uncertain parameters of the robot manipulator are adjusted by gradient method to minimize the output between the disturbance observer and the observer estimator. When the external force is exerted, the external force is estimated using the difference between the output of disturbance observer which include the external torque signal and that of observer estimator. And then, a force controller is designed for force feedback control employing the estimated force signal. To verify the effectiveness of the proposed force estimation method, several numerical examples are illustrated for the 2-axis planar type robot manipulator.

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무모형 로봇을 위한 신경 회로망 제어 방식 (A non-model based robot manipulator control using neural networks)

  • 정슬
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.698-701
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    • 1996
  • A novel neural network control scheme is proposed to identify the inverse dynamic model of robot manipulator and to compensate for uncertainties in robot dynamics. The proposed controller is called reference compensation technique(RCT) by compensating at reference input trajectory. The proposed RCT scheme has many benefits due to the differences in compensating position and learning algorithm. Since the compensation is done outside the plant it can be applied to many control systems without modifying the inside controller. It performs well with low controller gain because the operating range of input values is small and the output of the neural network controller is amplified through the controller gain. The back-propagation algorithm is used to train and simulations of three link robot manipulator are carried out to prove the proposed controller's performances.

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