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개선된 PID 제어기를 이용한 Wind Turbine의 피치 제어
전종현(Jonghyun Jeon),권오신(Oshin Kwon),김진성(Jinsung Kim),허훈(Hoon Heo) 한국소음진동공학회 2011 한국소음진동공학회 학술대회논문집 Vol.2011 No.4
The study described in this paper is aimed to maintain a constant output of wind turbine system via pitch control of wind turbine using Advanced PID(APID) controller. In order to improve dynamic response characteristic in terms of pitch angle and disturbance reject, the APID controller is developed. The structure of the APID is composed with derivative P controller and new type of integral control action. This new improved integral control has concept of error window and weight function concept. The performance of the APID control technique is compared with those of conventional ones via simulation. Simulation results show that the proposed method is effective and enhanced the dynamic performance of the system.
메탄 부분산화 반응을 위한 고분산된 팔라듐-니켈 촉매 합성 및 반응
이승현 ( Seunghyun Lee ),전종현 ( Jonghyun Jeon ),김주찬 ( Juchan Kim ),하경수 ( Kyoung-su Ha ) 한국화학공학회 2021 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.59 No.2
In this study, ordered mesoporous silica-supported Ni catalysts were prepared for catalytic partial oxidation of methane (CPOM) by using electroless nickel plating method. Unlike conventionally impregnated catalysts, the electrolessly-plated nickel catalyst showed that nickel was highly dispersed and formed stably on silica-supported surface. It was verified by TEM-EDS analysis. During the activity tests, the electrolessly-plated nickel was barely sintered and the amount of carbon deposition was very small. Consequently, the catalyst was far less deactivated, while the sintering was significantly observed in the cases of the catalysts prepared by the conventional impregnation method. Regarding the palladium-promoted catalysts, the reducibility of nickel was increased, and the reaction performances were enhanced in terms of CH<sub>4</sub> conversion and H<sub>2</sub>/CO ratio of produced syngas.
SVDD 기법을 이용한 하이브리드 전기자동차의 고장검출 알고리즘
나상건(Sanggun Na),전종현(Jonghyun Jeon),한인재(Injae Han),허훈(Hoon Heo) 한국소음진동공학회 2011 한국소음진동공학회 학술대회논문집 Vol.2011 No.4
In this paper, in order to improve safety of hybrid electric vehicle a fault detection algorithm is introduced. The proposed algorithm uses SVDD techniques. Two methods for learning a lot of data are used in this technique. One method is to learn the data incrementally. Another method is to remove the data that does not affect the next learning. Using lines connecting support vectors selection of removing data is made. Using this method, lot of computation time and storage can be saved while learning many data. A battery data of commercial hybrid electrical vehicle is used in this study. In the study fault boundary via SVDD is described and relevant algorithm for virtual fault data is verified. It takes some time to generate fault boundary, nevertheless once the boundary is given, fault diagnosis can be conducted in real time basis.