• Title/Summary/Keyword: 공압 근육

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Model Estimation and Precise Position Control of an Antagonistic Actuation with Pneumatic Artificial Muscles (공압형 인공근육을 이용한 상극 구동의 모델 추정 및 정밀 위치제어)

  • Kang, Bong-Soo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.35 no.5
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    • pp.533-541
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    • 2011
  • This paper presents a frequency-response test performed on an antagonistic actuation system consisting of two Mckibben pneumatic artificial muscles and a pneumatic circuit with pressure valves. Varying switching frequency to pressure valves from 0.1 Hz to 5 Hz, parameters of a linear model were estimated optimally to predict dynamic characteristics of the antagonistic actuation. A model-base control scheme with estimated parameters was built for the precise trajectory tracking of the antagonistic structure and realized on a reconfigurable embedded control system, CompactRIO. Experimental results showed that the proposed model-based control scheme gave good performance in trajectory tracking comparing with a PD control scheme when square wave and sinusoidal wave were given as references to follow.

Teleoperation of Pneumatic Artificial Muscles Based on Joint Stiffness of Master Device (마스터장치의 회전강성을 고려한 공압인공근육의 원격조정)

  • Kim, Ryeong Hyeon;Kang, Bong Soo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.37 no.12
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    • pp.1521-1527
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    • 2013
  • This study proposes a wearable master device that can measure the joint stiffness and the angular displacement of a human operator to enhance the adapting capability of a slave system. A lightweight inertial sensor and the exoskeleton mechanism of the master device can make an operator feel comfortable, and artificial pneumatic muscles having a working principle similar to that of human muscles improve the performance of the slave device on emulating what a human operator does. Experimental results revealed that the proposed master/slave system based on the muscle stiffness sensor yielded uniform tracking performance compared with a conventional position-feedback controller when the payload applied to the slave system changed.

Kinematics of an Intrinsic Continuum Robot with Pneumatic Artificial Muscles (공압인공근육을 가진 내부형 연속체로봇의 기구식)

  • Kang, Bong Soo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.40 no.3
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    • pp.289-296
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    • 2016
  • This study presents the kinematics of an intrinsic continuum robot actuated by pneumatic artificial muscles. The single section of a developed continuum robot consisted of three muscles in parallel. The contraction of each muscle according to applied air pressure produced spatial motions of a distal plate with respect to a base plate. Based on the bending behaviors of artificial muscles, the orientation and position of the end-effector of a continuum robot were formulated using a transformation matrix. The orientation and position was also determined for a single section of the distal plate. A Jacobian matrix relating the contraction rate or the pressure rate of the muscles to the velocity vector of the end-effector was calculated considering the assembled position of actuators between neighboring sections of the robot. Experimental results showed that the motions of the intrinsic continuum robot were accurately estimated by the proposed kinematics.

Development of Ankle Power Assistive Robot using Pneumatic Muscle (공압근육을 사용한 발목근력보조로봇의 개발)

  • Kim, Chang-Soon;Kim, Jung-Yup
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.41 no.8
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    • pp.771-782
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    • 2017
  • This paper describes the development of a wearable robot to assist ankle power for the elderly. Previously developed wearable robots have generally used motors and gears to assist muscle power during walking. However, the combination of motor and reduction gear is heavy and has limitations on the simultaneous control of stiffness and torque due to the friction of the gear reducer unlike human muscles. Therefore, in this study, Mckibben pneumatic muscle, which is lighter, safer, and more powerful than an electric motor with gear, was used to assist ankle joint. Antagonistic actuation using a pair of pneumatic muscles assisted the power of the soleus muscles and tibialis anterior muscles used for the pitching motion of the ankle joint, and the model parameters of the antagonistic actuator were experimentally derived using a muscle test platform. To recognize the wearer's walking intention, foot load and ankle torque were calculated by measuring the pressure and the center of pressure of the foot using force and linear displacement sensors, and the stiffness and the torque of the pneumatic muscle joint were then controlled by the calculated ankle torque and foot load. Finally, the performance of the developed ankle power assistive robot was experimentally verified by measuring EMG signals during walking experiments on a treadmill.

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.

Trajectory Tracking Control of Pneumatic Artificial Muscle Driving Apparatus based on the Linearized Model (공압 인공근육 구동장치의 선형화 모델 기반 궤적추적제어)

  • Jang, J.S.;Yoo, W.S.
    • Journal of Power System Engineering
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    • v.10 no.3
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    • pp.97-103
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    • 2006
  • In this study, a position trajectory tracking control algorithm is proposed for a pneumatic artificial muscle driving apparatus composed of a actuator which imitates the muscle of human, a position sensor and a control valve. The controller applied to the driving apparatus is composed of a state feedback controller and disturbance observer. The feedback controller which feeds back position, velocity and acceleration is derived from the linear model of pneumatic artificial muscle driving apparatus. The disturbance observer is designed to improve trajectory tracking performance and to reduce the effect of model discrepancy. The effectiveness of the designed controller is proved by experiments and the experimental results show that the pneumatic artificial muscle driving apparatus with the proposed control algorithm tracks given position reference inputs accurately.

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Dynamic Characteristics of an Antagonistic Actuation with Pneumatic Artificial Muscles (공압형 인공근육을 이용한 상극구동의 동적 특성)

  • Kang, Bong-Soo;Song, Seung
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.33 no.10
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    • pp.1081-1086
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    • 2009
  • This paper presents dynamic characteristics of pneumatic artificial muscles. Since the actuating performance of a pneumatic muscle is closely related to the input pressure of a pneumatic muscle, the air flow model on a valve orifice and an elastic bladder of the muscle is formulated to estimate precisely the pressure variance of pneumatic muscles during deflating and inflating process. Frequency response experiments are performed with an antagonistic system consisting of two pneumatic muscles and fast pneumatic control valves. Comparing with experimental results, the proposed model yielded good performance in estimating dynamic motions of the antagonistic system as well as the pressure variance of the pneumatic artificial muscles

Adaptive Control for Trajectory Tracking of a Manipulator with Pneumatic Artificial Muscle Actuators (공압인공근육로봇의 궤적추종의 적응제어)

  • Park, H.W.;Park, N.C.;Yang, H.S.;Park, Y.P.
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.5
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    • pp.100-107
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    • 1997
  • A pneumatic artificial muscle type of actuator, which acts similar to human muscle, is developed recently. In this paper, an adaptive controller is presented for the trajectory tracking problem of a two-degree- of-freedom manipulator using two pairs of pneumatic artificial muscle actuators. Due to the nonlinearity and the uncertainty on the dynamics of the actuator, it is difficult to make the effective control schemes of this system. By the adaptive control law which inclueds a nonlinear "feedforward" term compensating paramet- ric uncertainties in addition to P.I.D. scheme, both golbal stability of the system and convergence of the tracking error are guaranted. The effectiveness of the proposed control method for the manipulator using this actuator is illustrated through experiments.periments.

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