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김정도(J.D. Kim),정균식(K.S.Jung),이지웅(J.W.Lee),송영환(Y.H.Song),정찬호(C.H.Jeong),최재성(J.S. Choi) 한국마린엔지니어링학회 2010 한국마린엔지니어링학회 학술대회 논문집 Vol.2010 No.4
Marine auxiliary diesel engine of the ship that is being docked in the harbor so much time and main engine of naval vessel that is being posted for the guard are being operated in low load operation. In low load condition during long terms, it has been found the deterioration of performance and expected the shortened time between overhaul because of the reverse flow through the intake port and valves. In this paper, in marine diesel engine for generator, it was investigated the phenomena of reverse flow in gas passage regarding by the comparison of the pressures measured at intake port, exhaust port and cylinder simultaneously. And also it was examined the deteriorations by the comparison for the rate of heat release. Finally the possible improvement methods for this problem are proposed.
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문상필(S.P. Mun),하성현(S.H. Ha),김정도(J.D. Kim),권영훈(Y.H. Kwon),박도형(D.H. Park),김칠용(C.y. Kim) 대한전자공학회 2007 대한전자공학회 학술대회 Vol.2007 No.7
Uses the company Ballard from Nexa(310-0027) PEMFC the dissertation which it sees and low-end output voltage monk pressure for the fuel cell system which uses the electric supply type stop method which is new DC-DC the efficient converter proposal. Also it proposed the fuel cell system which uses a new electric supply type stop method, DC-DC the efficient converter compares 88.3[%] existing and maximum efficiency 92[%] attainment make to be bitter 3.7[%] with rise. Under make over together the result leads simulation and test, the propriety confirmation.
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반복 학습제어와 신경 회로망을 사용한 DC 서보모터의 위치 제어
김정도,정동근,홍철호,박재영,이택종 대한전자공학회 1992 秋季綜合學術大會 論文集 Vol.14 No.1
Controlling the dynamics system, we chance on the possibility that the system is too complex to model. So, we need the theory that is excluding the unknowning system, is Neural network is a computational model of biological nervous system, and iterative learning control is obtaining the desired motion through repeated training. Applying the combination of the two theory to the DC motor, we have the advantages over conventional control methods, such as rapid learning rate, real time problem, convergence of error.
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