• Proceedings of the KIEE Conference
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• 1995.07b
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• pp.874-876
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• 1995

Force and compliance control has been used in the control of legged walking vehicles to achieve superior terrain adaptability on rough terrains. The compliance control requires distribution of the vehicle load over the supporting legs. However, the constraint equations for ground reaction forces of supporting legs are generally underdetermined, allowing an infinite number of solutions. Thus, it is possible to apply an optimization criteria in solving the force setpoint problem. It has been observed that the previous force setpoint optimization methods sometimes cause a system stability problem and/or the load distribution among supporting legs is not well balanced due to a memory effect on the solution trajectory, This paper presents an iterative force setpoint method to solve this problem using an interpolation technique. By simulation it was shown that an excessive load unbalance among supporting legs and the memory effect in the force trajectory are alleviated much with the proposed method.

• Journal of Advanced Marine Engineering and Technology
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• v.18 no.4
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• pp.102-111
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• 1994

This article deals with the problem of designing a robust algorithm for the motion control of robot manipulator whose nonlinear dynamics contain various uncertainties. To ensure high performance of control system, a model-based feedforward compensation with continuous robust control has been developed. The control structure based on the deterministic approach consists of two parts : the nominal control law is first introduced to stabilize the system without uncertainties, then a robust nonlinear control law is adopted to compensate for both the resulting errors(or structured uncertainties) and unstructured uncertainties. The uncertainties assumed in this study are bounded by polynomials in the Euclidean norms of system states with known bounding coefficients. The presented control scheme is relatively simple as well as computationally efficient. With a feasible class of desired trajectories, the proposed control law provides sufficient criteria which guarantee that all possible responses of the closed-loop system are uniformly ultimately bounded in the presence of uncertainties. Therefore, the control algorithm proposed is shown to be robust with respect to the involved uncertainties.

• Proceedings of the KIEE Conference
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• 1987.07a
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• pp.244-248
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• 1987

The force/torque sensor for robot is developed. The compliance algorithm for peg-in-hole insertion task using the forec/troque sensor is developed. The system consists of an IBM PC, robot, force/torque sensor, strain meter, A/D board, and interface board. The IBM PC functions as a main processor and the robot controller as a slave processor. The sensor is constructed to measure $T_x$, $T_y$, $F_z$ which are necessary to precisely execute a peg-in-hole insertion task by SCARA type assembly robot. The outputs of sensor are analyzed. On the basis of the analysis, compliance algorithm for peg-in-hole insertion task is developed. Some comments concerning the development of wrist force/torque sensor and compliance algorithm are given.

• Journal of the Korean Society for Precision Engineering
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• v.13 no.10
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• pp.94-104
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• 1996

This paper presents a new approach to the design of adaptive control system using DSPs(TMS320C31) for robotic manpulators to achieve accurate trajectory tracking by the joint angles Digital signal processors are used in implementing real time adaptive control algorithms to provide an enhanced motion control for robotic manipulators. In the proposed contorl scheme, adaptation laws are derived from the improved Lyapunov second stability analysis method based on the adaptive model reference control theory. The adaptive controller consists of an adaptive feedforward controller, feedback controller, and PID type time varying auxillary control elements. The proposed adaptive control scheme is simple in structure, fast in computation, and suitable for implementation of real-time control. Morever, this scheme does not require an accurate dynamic modeling nor values of manpipulator parameters and payload. Performance of the adaptive controller is illustated by simulation and experimental results for a SCARA robot.

• Journal of the Korean Society for Precision Engineering
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• v.10 no.3
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• pp.107-116
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• 1993

In the design and operation of robitic arm with flexible links, the equation of motion are required to exactly model the interaction between rigid body motion and elastic motion and to be formulated efficientlyl. In this paper, the flexible link is represented by applying the D-H rigid link representation method to measure the elestic deformation. And the equations of motion of robotic arm, which are configured by the generalized coordinates of elastic and rigid degrees of freedom, are formulated from the principle of virtual power. Dynamic characteristics due to elastic deformation of each link are obtained by using F. E. M to model complex shaped link acurately and by eliminating elastic modes of higher order that do not largely affect motion to reduce the number of elastic degrees of freedom. Also presented is the result of simulation of flexible robotic arms whose joints are controlled by direct or PD control.

• Composites Research
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• v.26 no.4
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• pp.265-272
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• 2013

Fiber-reinforced plastic (FRP) is applied to fabricate the main structures of composite boats. Most of them are made from molds. These products deform after releasing from the mold and they also deform in high temperature environment. Therefore, experimental investigation and evaluation of deformation of laminated composite structures under various manufacturing and working conditions are necessary. The specimens of L-shape and curveshape were made from unsaturated polyester resin and fiberglass material. Input factors (independent variables) are percentage of hardener and manufacturing temperature and four levels of working temperature and output factor is the deformation which is measured on these specimens. From the results, it was observed that the higher the hardener rate and temperature, the lower the deformation. When the working temperature increased, the specimens showed great variations for the initial deformation values. Besides, the values of deformation or input factors could be predicted by regression equations.

• Journal of Chest Surgery
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• v.41 no.5
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• pp.630-632
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• 2008

Minimally invasive cardiac surgery using AESOP (Automated Endoscope System for Optimal Positioning) offers certain advantages such as better a cosmetic outcome, a shortened post operative recovery time and a shorten hospital stay, and these advantages are not achieved by conventional cardiac surgery. We report here on our first robot-assisted (AESOP) left minithoracotomy surgery in a 26 year-old female with a subarteral ventricular septal defect, and this might have been treated by median sternotomy before the development of AESOP.

• The Transactions of the Korean Institute of Power Electronics
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• v.3 no.3
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• pp.165-172
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• 1998

The electromechanical energy conversion conditioning and processing implementation in USM direct motion control system is generally divided into two power stages: the two-phase high-frequency ac power inversion stage for driving piezoelectric ceramic PZT transducer array off the USM stator and the mechanical thrust power conversion stage based on the frictional force between the piezo electric stator array and the rotary slider of the USM. However, the dynamic and steady-state mathematical modeling of the USM is extremely default from a theoretical point of view because it contains many complicated an nonlinear characteristics dependant on operation temperature. In +2$0^{\circ}C$~3$0^{\circ}C$, the operating characteristics of the USM has represented normal condition. But the other temperature, it has abnormal condition so that driving frequency, current and motor speed will be down. The recent USM has controller without temperature compensation. This study represents the fuzzy controller for speed compensation according to operating temperature by driving frequency.

• The Magazine of the IEIE
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• v.18 no.10
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• pp.29-38
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• 1991

제6세대 컴퓨터로 불리는 신경컴퓨터는 학습과 병렬처리에 의해 인간의 두뇌 기능을 모방한다. 인간의 두뇌는 시각 인식, 음성인식, 촉각 감지등 패턴 인식뿐 아니라 인간의 복잡한 신체구조를 시각, 촉각 같은 감각기관의 도움을 얻어 움직이는 중요한 역할도 한다. 바로 이 모터제어(motor control)역시 신경회로가 담당하기 때문에 이를 기계적 신체에 해당하는 로봇 또는 광범위하게 기계, 비행기, 산업공정에 응용하는 것은 매우 자연스럽게 보인다. 이처럼 신경회로가 제어에 응용되는 것을 신경제어(neurocontrol)라 하고 이를 이용한 기계를 지능기계(intelligent machinery)라 한다. 지능기계는 기본적으로 인간처럼 경험축적, 학습, 불확실한 환경에서의 적응, 자기진단 등의 장점을 가지고 있다. 신경회로의 지극히 광범위한 응용분야중 신경제어는 가장 먼저 실현될 가능성이 높다. 실제로 로봇나 공정제어(process control)처럼 복잡한 비선형 시스템의 제어는 다량의 센서 정보에 기초한 실시한 제어를 필수로 하며 이는 신경회로를 사용함으로써 가장 효율적, 경제적으로 구현할 수 있다. 실제로 신경제어는 전세계적으로 이미 시스템 제어에 응용되어 좋은 결과를 내고 있다. 신경회로의 로봇나 자동화 응용은 학술적인 측면에서는 복잡한 비선형 시스템의 지능제어(intelligent control)문제에 대한 신선한 해결책을 마련해줄 뿐 아니라 산업자동화라는 막대한 시장을 뒤로 하고 있어 이론에서 실제에 걸쳐 가장 광범위한 파급효과를 가지는 최첨단 기술로 보여진다. 고부가가치 상품을 통한 국제경쟁력 제고의 차원에서도 정부, 기업 등의 과감한 연구 개발투자가 선행되어야 한다. 특히 이 분야의 연구는 선진국도 최근에 시작한 점으로 보아 정부, 기업이 이에 대한 연구개발 투자를 현명하게 할 경우에 세계적 기술 경쟁력도 확보할 수 있을 것이다. 본 해설에서는 로봇 및 시스템 제어에 관한 기초 이론과 신경회로 적용기술을 소개하고 기존방법과 비교했을 때의 우월성, 전세계적인 응용연구, 국내외 연구개발 현황, 상업화 가능성, 산업계 응용례, 기술상의 문제점, 향후 전망 등을 다루기로 한다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.20 no.7
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• pp.81-91
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• 2006

Recently, G.A studies have studied and demonstrated that artificial intelligence like G.A networks, G.A PI controller. The design techniques of PI controller using G.A with the newly proposed teaming algorithm was presented, and the designed controller with AC servo motor system. The goal of this paper is to design the AC servo motor using genetic algorithm and to control drive robot. And in this paper, we propose a genetic algorithms approach to find an optimal or near optimal input variables for genetic algorithm PI controller. Our experimental results show that this approach increases overall classification accuracy rate significantly. Finally, we executed for the implementation of high performance speed control system. It is used a 16-bit DSP, IMS320LF2407, which is capable of the high speed and floating point calculation.