• 한국공작기계학회논문집
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• 제13권3호
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• pp.68-75
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• 2004

Recently, need of the parallel manipulator requiring superior precision is increasing for medical application and precision manufacturing. In this study, we convert a given complex translation trajectory of the moving platform into a set of segments and hence a complex motion of the moving platform can be tractable and easily controled in a very limited workspace. In addition force exerted. to each link is minimized so that the minimized force can be transmitted to the end effector of the moving platform. An user friendly program is developed to design Gough-type 6DOF parallel manupulator based on the proposed method.

• 한국정밀공학회지
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• 제21권1호
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• pp.116-123
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• 2004

The demand for the stable and comfortable cabin of a high speed passenger ship is increasing. The study on shipboard comfort has been mainly concentrated on the motion control of a whole hull body. In this study, however, a new control system operated by two parallel robots (3RPS, 3SPR) such as the active suspension system of motor vehicle is proposed. The goal of this control is keeping zero velocity of the upper robot (cabin) although the lower robot (ship) is moving by the waves. Jacobian matrix was used to design the controller, From the simulation results, the remarkable reduction of motion of the cabin (upper platform) was observed. The 3SPR parallel robot shows better performance compared to the 3RPS robot.

• 한국지능시스템학회논문지
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• 제2권1호
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• pp.17-32
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• 1992

로보트 매니퓰레이터의 신경 제어기 구성에 널리 사용하는 다층 신경회로망은 로보트의 불확실한 동적 파라메터 변화에 대한 강건한 학습 적응능력, 그리고 병렬 처리를 통한 실시간 제어등의 장점들을 갖고있다. 그러나 대표적인 학습방법인 오차 역전파(error back propagation) 알고리즘은 그 학습 속도가 느리다는 문제점을 갖는다. 본 논문에서는 불확실하고 애매한 정보를 언어적인 방법에 의해 효율적으로 처리할 수 있는 퍼지 논리 (fuzzy logic)를 도입하여 로보트 매니퓰레이터 신경 제어기의 학습 속도를 개선하기위한 한 방법을 제안한다. 제안된 제어기의 효용성은 PUMA 560 로보트의 모의 실험을 통해 입증된다.