• 제목/요약/키워드: Manipulators

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Vibration Control a Flexible Single Link Robot Manipulator Using Neural Networks (신경회로망을 이용한 유연성 단일 링크 로봇 매니퓰레이터의 진동제어)

  • 탁한호;이상배
    • Journal of the Korean Institute of Navigation
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    • v.21 no.3
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    • pp.55-66
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    • 1997
  • In this paper, applications of neural networks to vibration control of flexible single link robot manipulator are ocnsidered. The architecture of neural networks is a hidden layer, which is comprised of self-recurrent one. Tow neural networks are utilized in a control system ; one as an identifier is called neuro identifier and the othe ra s a controller is called neuro controller. The neural networks can be used to approximate any continuous function to any desired degree of accuracy and the weights are updated by dynamic error-backpropagation algorithm(DEA). To guarantee concegence and to get faster learning, an approach that uses adaptive learning rates is developed by introducing a Lyapunov function. When a flexible manipulator is ratated by a motor through the fixed end, transverse vibration may occur. The motor torque should be controlle dinsuch as way, that the motor is rotated by a specified angle. while simulataneously stabilizing vibration of the flexible manipulators so that it is arrested as soon as possible at the end of rotation. Accurate vibration control of lightweight manipulator during the large body motions, as well as the flexural vibrations. Therefore, dynamic models for a flexible single link manipulator is derived, and LQR controller and nerual networks controller are composed. The effectiveness of the proposed nerual networks control system is confirmed by experiments.

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Development of Apple Harvesting Robot(I) - Development of Robot Hand for Apple Harvesting - (사과 수확 로봇의 핸드 개발(I) - 사과 수확용 로봇의 핸드 개발 -)

  • 장익주;김태한;권기영
    • Journal of Biosystems Engineering
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    • v.22 no.4
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    • pp.411-420
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    • 1997
  • The mechanization efficiency using high ability machines such as tractors or combines in a paddy field rice farm is high. Mechanization in harvesting fruits and vegetables is difficult, because they are easy to be damaged. Therefore, Advanced techniques for careful handling fruits and vegetables are necessary in automation and robotization. An apple harvesting robot must have a recognition device to detect the positioning of fruit, manipulators which function like human arms, and hand to take off the fruit. This study is related to the development of a rotatic hand as the first stage in developing the apple harvesting robot. The results are summarized as follows. 1. It was found that a hand that was eccentric in rotatory motion, was better than a hand of semicircular up-and-down motion in harvesting efficiency. 2. The hand was developed to control changes in grasp forces by using tape-type switch sensor which was attatched to fingers' inside. 3. Initial finger positioning was set up to control accurate harvesting by using a tow step fingering position. 4. This study showed the possibility of apple harvesting using the developed robot hand.

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Intelligent Switching Control of a Pneumatic Artificial Muscle Robot using Learning Vector Quantization Neural Network (학습벡터양자화 뉴럴네트워크를 이용한 공압 인공 근육 로봇의 지능 스위칭 제어)

  • Yoon, Hong-Soo;Ahn, Kyoung-Kwan
    • Journal of the Korean Society for Precision Engineering
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    • v.26 no.4
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    • pp.82-90
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    • 2009
  • Pneumatic cylinder is one of the low cost actuation sources which have been applied in industrial and prosthetic application since it has a high power/weight ratio, a high-tension force and a long durability However, the control problems of pneumatic systems, oscillatory motion and compliance, have prevented their widespread use in advanced robotics. To overcome these shortcomings, a number of newer pneumatic actuators have been developed such as McKibben Muscle, Rubber Actuator and Pneumatic Artificial Muscle (PAM) Manipulators. In this paper, one solution for position control of a robot arm, which is driven by two pneumatic artificial muscles, is presented. However, some limitations still exist, such as a deterioration of the performance of transient response due to the changes in the external load of the robot arm. To overcome this problem, a switching algorithm of the control parameter using a learning vector quantization neural network (LVQNN) is proposed in this paper. This estimates the external load of the pneumatic artificial muscle manipulator. The effectiveness of the proposed control algorithm is demonstrated through experiments with different external working loads.

Design of an OPtimal Controller for the Nonlinear Robot Manipulators with the Actuator Dynamics (조작기의 동특성을 고려한 비선형 로봇 매니퓰레이터의 최적 제어기 설계)

  • 김학범;이양범
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.18 no.9
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    • pp.1376-1385
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    • 1993
  • This paper presents a new dynamic model which is represented by the second order differenatial equation and itcludes the robot arm dynamics as well as the actuator dynamics. The model exhibits excellent performance in the steady state and transient response. In addition the time varing nonlinear and coupled dynamic system has been linearized and decoupled by using nonlinear feedback and linearization method. In this case a pole assignment law is used to improve stability, and the optimal control altorithm is applied to the error equation to minimize the path error. In applying the proposed algorithm to the three joint manipulator with actuators, we obtained very encouraging results.

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Teaching Method Without Work Space Limit for Industrial Robot (산업용 로봇의 작업공간 제한이 없는 교시 방법)

  • Choi, Taeyong;Do, Hyunmin;Park, Chanhun;Park, Dongil;Kim, Doohyeong;Kyung, Jinho
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.25 no.6
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    • pp.492-497
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    • 2016
  • Teaching an industrial robot is still a dangerous and time-consuming process. It is expected that a robot can track a trajectory that is repeatedly taught by a human operator. Teaching a robot in joint space is easier than that in Cartesian space or a work space because the robot will never lose its stability when it is taught and operated in a joint space. However, it is very easy for a robot to lose its stability when it is taught in a work space. This is because of the singular points problem in kinematics for manipulators. Thus, experts should teach a given task to a robot in a careful manner. A new algorithm that avoids the problem of singular points is proposed. Using this proposed method, a user can freely teach a robot without the chance of instability in an entire work space.

A Unified Theory of Spatial Sound and Vibration Control with Multiple Sources (음향 및 진동장의 형상을 제어하는 다양한 방법)

  • Kim, Yang-Hann;Choi, Joung-Woo
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2006.05a
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    • pp.126-132
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    • 2006
  • In this paper, we aim to control the sound and vibration spatially, so that a desired physical variable is enhanced within a zone we select. This is somewhat analogous to have manipulators that can draw wave shape in any place we want. Brightness and contrast control have shown that such a manipulation is possible by controlling multiple sources[J.-W. Choi and Y.-H. Kim, J. Acoust. Soc. Am. 111(4), 2002]. In particular, the acoustic brightness control seeks a way to increase loudness of sound over a chosen area, and the contrast control aims to enhance loudness difference between two neighboring regions. This enables us to manipulate spatial distribution of sound by making two different kinds of zone ? the bright and dark zone- at the same time. The primary focus of this study is to unit the theoretical formulation of the brightness and contrast control and to find a link between these methods, as well as its relation to other conventional techniques. It is also shown that we can generate various shape of wave field by transforming the domain we consider.

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Force and Position Control of a Two-Link Flexible Manipulator with Piezoelectric Actuators (압전 작동기를 갖는 2 링크 유연 매니퓰레이터의 힘 및 위치 제어)

  • 김형규;최승복
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1997.04a
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    • pp.428-433
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    • 1997
  • This paper presents a new control strategy for the position and force control of flexible manipulators. The governing equation of motion of a two-link flexible manipulator which features piezoceramic actuators bonded on each flexible beam is derived via Hamilton's principle. The control torque of the motor to command desired position and force is determined by a sliding mode controller on the basis of the rigid-mode dynamics. In the controller formulation, the sliding mode controller with perturbation estimation(SMCPE) is adopted to determine appropriate control gains. The SMCPE is then incorporated with the fuzzy technique to mitigate inherent chattering problem while maintaining the stability of the system. A set of fuzzy parameters and control rules are obtained from a relation between estimated perturbation and actual perturbation. During the commanded motion, undesirable oscillation is actively suppressed by applying feedback control voltages to the piezoceramic actuators. These feedback voltages are also determined by the SMCPE. Consequently, accurate force and position control of a two-link flexible manipulator are achieved. Computer simulations are undertaken in order to demonstrate the effectiveness of the proposed control methodology.

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Development of a Servo Manipulator Prototype for Advanced Spent Fuel Conditioning Process (차세대관리 종합공정장치 유지보수용 서보 매니퓰레이터 시제품 개발)

  • 박병석;진재현;안성호;김성현;홍동희;윤지섭
    • Proceedings of the Korean Radioactive Waste Society Conference
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    • 2003.11a
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    • pp.345-350
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    • 2003
  • The development of a prototype for a Bridge Transported Servo Manipulator (BTSM) system operating in a hot cell is introduced. Mechanical master-slave manipulators (MSMs) which are mounted on the hot cell wall cannot access all the areas for the equipment maintenance due to their reach limitation. The BTSM has been developed to overcome the limitation of access that is a drawback of the MSMs for the equipment maintenance. Wire driven mechanisms have been adopted to increase the handling capacity to weight. This system can be a useful reference for designing other devices in the nuclear industry.

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A Study on Stable Motion Control of Mobile-Manipulators Robot System (모바일-매니퓰레이터 구조 로봇시스템의 안정한 모션제어에 관한연구)

  • Park, Moon-Youl;hwang, Won-Jun;Park, In-Man;Kang, Un-Wook
    • Journal of the Korean Society of Industry Convergence
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    • v.17 no.4
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    • pp.217-226
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    • 2014
  • Since the world has changed to a society of 21st century high-tech industries, the modern people have become reluctant to work in a difficult and dirty environment. Therefore, unmanned technologies through robots are being demanded. Now days, effects such as voice, control, obstacle avoidance are being suggested, and especially, voice recognition technique that enables convenient interaction between human and machines is very important. In this study, in order to conduct study on the stable motion control of the robot system that has mobile-manipulator structure and is voice command-based, kinetic interpretation and dynamic modeling of two-armed manipulator and three-wheel mobile robot were conducted. In addition, autonomous driving of three-wheel mobile robot and motion control system of two-armed manipulator were designed, and combined robot control through voice command was conducted. For the performance experiment method, driving control and simulation mock experiment of manipulator that has two-armed structure was conducted, and for experiment of combined robot motion control which is voice command-based, through driving control, motion control of two-armed manipulator, and combined control based on voice command, experiment on stable motion control of voice command-based robot system that has mobile-manipulator structure was verified.

A DIGITAL ALGORITHM FOR NEAR-MINIMUM-TIME CONTROL OF ROBOT MANIPULATORS (로보트 메뉴플레이터의 NEAR-MINIMUM-TIME 제어에 대한 디지탈 알고리즘의 개발)

  • Park, How-Sea;Bae, Jun-Kyung;Park, Chong-Kuk
    • Proceedings of the KIEE Conference
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    • 1987.11a
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    • pp.417-420
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    • 1987
  • For an increased level of productivity, it is important that the end-point of a robot manipulator moves from an initial location to final position in the minimum time subject to the available maximum actuator's torque (or force) at each joints. The main issue is to develop an algorithm to compute the actuators in real-time. In this paper, a digital state feedback control algorithm has bean developed to obtain the near-minimum-time trajectory for the end-effector of a robot manipulator. In this algorithm, the poles of the linearized closed loop system are judiciously placed in the Z-plane to permit minimum-time response without violating the constraints on the actuator torques. The validity of this algorithm have been established using numerical simulations. A three-link manipulator in chosen for this purpose and results are discussed for three different combinations of initial and final station.

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