• Proceedings of the KIEE Conference
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• 1987.07a
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• pp.256-259
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• 1987

In this paper, a servo controller for a robot manipulator is developed. It consists of a conventional MRAS controller for each joint together with a feedback control to Dynamics compensation. To generale the control torque effectively a currant drive method is adopted. The speed of the actuator is measured by using a tachometer and the position of the link is measured by using a potentiometer. To show the effectiveness of the proposed control algorithm the proposed controller is tested in real time.

• Proceedings of the KIEE Conference
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• 1987.07a
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• pp.270-274
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• 1987

In this paper, the design method, design techniques and structure of a language for a SCARA type industrial robot, are presented. The proposed new language is modular and expandable using the C programming language and the 8086 assembly language. It is composed of monitor mode, editor mode, execution mode, I/O mode and teach mode. The developed language is implemented on the robot controller to verify its performance.

• 전기의세계
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• v.38 no.3
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• pp.12-18
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• 1989

원자력 발전소 제어계통은 계속 최신 기술의 실증으로 인하여 상당히 많은 부분이 개선될 것으로 판단되고 있다. 현재 개선이 추진되고 있는 것들은 계측제어 분야의 첨단기술인 광통신이라든가, Multi-processor 기능을 갖고 있는 컴퓨터를 사용하여 Real-time Monitoring을 하거나 보수요원의 정기적인 점검에서 발생되는 실수를 막기위한 디지탈 자동 시험장치(Automatic Test With Digital System)등이 주로 대상이다. 이러한 개선 외에도 원자력 발전소의 부하추종 능력의 개선을 위해 원자로 계측 및 제어봉 제어장치의 개선과 최적제어라든가 적응제어 이론을 이용한 제어기설계 연구가 함께 이루어져야 한다고 사료된다. 증기발생기 수위제어에는 이미 최적제어나 적응제어 이론을 응용한 제어계통의 개선 사례도 있는 실정이다. 또한 원자력 발전소의 보수 유지 및 안전 운전을 위해서 원전로보트의 이용 연구가 필요하며 특히 운전원의 실수를 최소한으로 줄이기 위해 인공지능 기술을 도입한 발전로 제어계통의 구성 연구도 매우 바람직하다고 생각된다.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.38 no.11
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• pp.941-949
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• 1989

This two-part paper presents a control method that allows for stable interaction of a robot manipulator with environment. In part 1, we focus on the input output relationships (unstructured modeling) of the robot and environment dynamics. This analysis leads to a general condition for stability of the robot and environment taken as a whole. This stability condition, for stable maneuver, prescribes a finite sensitivity for robot and environment where sensitivity of the robot (or the environment) is defined as a mapping forces into displacement. According to this stability condition, smaller sensitivity either in robot or in environment leads to narrower stability range. In the limit, when both systems have zero sensitivity, stability cannot be guaranteed. These models do not have any particular structure, yet they can model a wide variety of industrial and research robot manipulators and environment dynamic behavior. Although this approach of modeling may not lead to and design procedure, it will allow us to understand the fundamental issues in stability when a robot interacts with an environment.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.38 no.11
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• pp.950-957
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• 1989

We have shown how unstructured modeling was used to derive a general stability condition in Part 1. In Part 2, we focus on the particular dynamics (structured modiling) of the robot manipulator and environment. Using rigid body dynamics, the stability condition for the direct drive robots has been achieved in terms of the Jacobian and robot tracking controller. Combining the structured and unstructured modeling, a stability condition for a particular application can be obtained. This approach has been used to analyze compliant motion on the University of Minnesota robot using a feedforward torque controller. We have obtained a stability condition for this application. Through both simulation and experiment, the sufficiency of this condition has been demonstrated. For a sufficient stability condition, recall that if the condition is satified, then the stability is guaranteed` however, if the condition is violated, no conclusion can be made.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.40 no.2
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• pp.207-216
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• 1991

In the case that the robot manipulator should respond to the variance and uncertainty of the environment in performing preforming precision tasks, it is indispensable that the robot utilizes the various sensors for intrlligence. In this paper, the robot force control method is implemented with a force/torque sensor, two personal computers, and a PUMA 560 manipulator for performing the various application tadks. The hybrid position/force control method is used to control the force and position axis separately. An interface board is designed to read the force/torque sensor output into the computer. Since the two computers should exchange the information quickly, a common memory board is designed. Before the algorithms of application tasks are developed, the basic force commands must be supplied. Thus, the MOVE-UNTIL command is used at the discrete time instant and, the MOVE-COMPLY is used at the continuous time instant for receiving the force feedback information. Using the two basic force commands, three application algorithms are developed and implemented for edge-following, insertion, and grinding tasks.

• Proceedings of the KIEE Conference
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• 1996.07b
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• pp.1219-1221
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• 1996

In this paper, we develop a control system of an Educational Robot and implement a fuzzy algorithm for the position control. The MA2000 robot manufactured by TecQuipment Co. is the controlled system and 3 axes(waist, shoulder, elbow) of total 6 axes are controlled by the fuzzy logic-based algorithm. The control system consists of an IBM PC, an interface board capable of A/D conversion and PWM generation, and a drive board for dc motors in joints of the robot. The experiments show that the modified fuzzy algorithm yields a better performance in steady-stale than that of the conventional fuzzy algorithm.

• Proceedings of the KIEE Conference
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• 1993.07a
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• pp.376-379
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• 1993

GoldStar Industrial Systems Co. R & D center successfully developed the inverter for welding under the support of GoldStar Electric Machinery Co. Now, we are currently working on the mechanical part of articulated robot and a high-performance general purpose motion controller. By combining the above three items, we will be able to constitute the complete welding robot system on our own. In this article. the welding robot system currently under developing is introduced. The main focus will be placed on the development of general purpose motion controller with welding control module. Therefore, the architecture of welding robot controller where the general purpose motion controller is combined with the welding controller module will be explained. Here, the software system will be explained with regard to the hardware system.

• Proceedings of the KIEE Conference
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• 1993.07a
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• pp.395-398
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• 1993

This paper proposes an algorithm to find an optimal trajectory for unspecified paths of the tips of two arms of a dual arm robot. The effective handling a specified object of a dual arm robot closely depends on the effective collision avoidance between parts of robot and the object. For time optimal trajectory without collision, a graphical method is applied for a robot with two degree of freedom. The effectiveness of the proposed method is demonstrated by some simulation results.

• Proceedings of the KIEE Conference
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• 1996.07b
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• pp.1228-1230
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• 1996

A neural network(NN) mechanism is proposed to modify the gait of a biped robot that walks on sloping surface using sensory inputs. The robot starts walking on a surface with no priori knowledge of the inclination of the surface. By accumulating experience during walking, the robot improves its walking gait and finally forms a gait that is adapted to the surface inclination. A neural controller is proposed to control the gait which has 72 reciprocally inhibited and excited neurons. PI control is used for position control, and the neurons are trained by a reinforcement learning mechanism. Experiments of static gait learning and pseudo dynamic learning are performed to show the validity of the proposed reinforcement learning mechanism.