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고재섭(Jae-Sub Ko),최정식(Jung-Sik Choi),정병진(Byung-Jin Jung),김도연(Do-Yeon Kim),박기태(Ki-Tae Park),최정훈(Jung-Hoon Choi),정동화(Dong-Hwa Chung) 한국조명·전기설비학회 2007 한국조명·전기설비학회 학술대회논문집 Vol.2007 No.11월
This paper presents the photovoltaic(PV) water pumping system with a maximum power point tracking(MPPT). The water pumping system uses a variable speed single phase induction motor(SPIM) driven a centrifugal pump by field oriented control(FOC) inverter. The MPPT using a DC-DC converter controlled the duty cycle to track maximum power from PV under different insolation conditions. The duty cycle directly relate with a flux producing current control(i<SUB>ds</SUB>). The FOC inverter uses a current control voltage source inverter(CC-VSI). The simulation results are shown that the characteristics and performance of drive system, which varies as each conditions of light by expresses in voltage(V<SUB>dq</SUB>), current(I<SUB>dq</SUB>), speed of motor and torque.
정병진(Byung-Jin Jung),고재섭(Jae-Sub Ko),최정식(Jung-Sik Choi),김도연(Do-Yeon Kim),정동화(Dong-Hwa Jung) 한국조명·전기설비학회 2008 한국조명·전기설비학회 학술대회논문집 Vol.2008 No.10월
This paper is proposed the vector control of 3-phase induction motor drive system by photovoltaic generation. For performance of vector control using a current control voltage source inverter(CC-VSI). CC-VSI is controlled by torque and flux producing component of motor current, relating with current and and voltage value of photovoltaic arrays at maximum power point that varies follow different level of insolation. The MPPT using a DC-DC converter controlled the duty cycle to track maximum power from PV under different insolation conditions. The simulation results are shown that the characteristics and performance of drive system, which varies as each conditions of light by expresses in voltage(V<SUB>dq</SUB>), current(I<SUB>dq</SUB>), speed of motor and torque.
인공지능 제어에 의한 유도전동기 드라이브의 센서리스 벡터제어
고재섭,남수명,정동화 국립7개대학공동논문집간행위원회 2005 공업기술연구 Vol.5 No.-
This paper is proposed artificial intelligent control based on the vector controlled induction motor drive system. The hybrid combination of fuzzy control and neural network will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed control and estimation of speed of induction motor using fuzzy and neural network. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The error between the desired state variable and the actual one is back-propagated to adjust the rotor speed, so that the actual state variable will coincide with the desired one. The back propagation mechanism is easy to derive and the estimated speed tracks precisely the actual motor speed. This paper is proposed the experimental results to verity the effectiveness of the new method.
IPMSM 드라이브의 최대토크를 위한 적응 FNN 제어기
김도연(Do-Yeon Kim),고재섭(Jae-Sub Ko),최정식(Jung-Sik Choi),정병진(Byung-Jin Jung),박기태(Ki-Tae Park),최정훈(Jung-Hoon Choi),정동화(Dong-Hwa Chung) 한국조명·전기설비학회 2007 한국조명·전기설비학회 학술대회논문집 Vol.2007 No.11월
Interior permanent magnet synchronous motor(IPMSM) has become a popular choice in electric vehicle applications, due to their excellent power to weight ratio. This paper proposes maximum torque control of IPMSM drive using adaptive fuzzy neural network controller and artificial neural network(ANN). This control method is applicable over the entire speed range which considered the limits of the inverter's current and voltage rated value. For each control mode, a condition that determines the optimal d-axis current i<SUB>d</SUB> for maximum torque operation is derived. This paper considers the design and implementation of novel technique of high performance speed control for IPMSM using Adaptive-FNN controller and ANN controller. The hybrid combination of neural network and fuzzy control will produce a powerful representation flexibility and numerical processing capability. Also, this paper proposes speed control of IPMSM using Adaptive-FNN and estimation of speed using ANN controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The proposed control algorithm is applied to IPMSM drive system controlled Adaptive-FNN and ANN controller, the operating characteristics controlled by maximum torque control are examined in detail. Also, this paper proposes the analysis results to verify the effectiveness of the Adaptive-FNN and ANN controller.
박기태(Ki-Tae Park),고재섭(Jae-Sub Ko),최정식(Jung-Sik Choi),박병상(Byung-Sang Park),정동화(Dong-Hwa Chung) 한국조명·전기설비학회 2007 한국조명·전기설비학회 학술대회논문집 Vol.2007 No.5월
This paper is proposed a novel method to approximate the maximum power for a photovoltaic inverter system and tracking method. It is designed for power systems application and utilities. The proposed Maximum Power Point Tracking(MPPT) control has the advantage to provide a new simple way to approximate the optimal or rated voltage, the optimal or rated current and maximum power rating produced by a solar pane1 and the photovoltaic inverter. And this straightforward method will be named linear reoriented coordinates method(LRCM) with the advantage that Pmax and V<SUB>op</SUB> can be approximated using the same variable as the dynamic model without using complicate approximations or Taylor series. Furthermore tracking method is improved over 50% photovoltaic efficiency. This paper is proposed MPPT using LRMC and tracking method using weather condition of domestic moderate program technique. This paper is proposed the experimental results to verify the effectiveness of the new methods.
Ko, Young-Dae,Kang, Jin-Gu,Choi, Kyung Jin,Park, Jae-Gwan,Ahn, Jae-Pyoung,Chung, Kyung Yoon,Nam, Kyung-Wan,Yoon, Won-Sub,Kim, Dong-Wan Royal Society of Chemistry 2009 Journal of materials chemistry Vol.19 No.13
<P>Two-dimensional (2-D) nanoplates of iron-substituted calcium cobaltite (Ca<SUB>3</SUB>Co<SUB>3</SUB>FeO<SUB>9</SUB>) are synthesized through a simple citrate-gel method. The lithium electroactivity of Ca<SUB>3</SUB>Co<SUB>3</SUB>FeO<SUB>9</SUB> demonstrates that this is an applicable active anode material. In this study, we focus on the reversible conversion process and internally multi-phasic, nanostructured character occurring in Ca<SUB>3</SUB>Co<SUB>3</SUB>FeO<SUB>9</SUB> nanoplates. Moreover, we demonstrate that in-situ formation of active/inactive nanocomposite improves the conversion reaction kinetics by accommodating the large volume changes during lithium uptake and removal, thereby achieving outstanding rate capabilities.</P> <P>Graphic Abstract</P><P>Two-dimensional nanoplates of iron-substituted calcium cobaltite (Ca<SUB>3</SUB>Co<SUB>3</SUB>FeO<SUB>9</SUB>) synthesized through a simple citrate-gel method are found to be an active anode material. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=b817120c'> </P>
Hydrodeoxygenation of oleic acid over Ce<SUB>(1-x)</SUB>Zr<SUB>(x)</SUB>O<SUB>2</SUB> solid solution
Jae-Oh Shim,Dae-Woon Jeong,Won-Jun Jang,Kyung-Won Jeon,Won-Bi Han,Hyun-Suk Na,Hak-Min Kim,Hyun-Seog Roh,Jeong-Geol Na,You-Kwan Oh,Chang Hyun Ko,Sang Sub Han 한국신재생에너지학회 2013 한국신재생에너지학회 학술대회논문집 Vol.2013 No.05
고재섭(Jae-Sub Ko),최정식(Jung-Sik Choi),정병진(Byung-Jin Jung),김도연(Do-Yeon Kim),박기태(Ki-Tae Park),최정훈(Jung-Hoon Choi),정동화(Dong-Hwa Chung) 대한전기학회 2007 대한전기학회 학술대회 논문집 Vol.2007 No.10
The water pumping system uses a variable speed single phase induction motor driven a centrifugal pump by field oriented control(FOC) inverter. The MPPT using a DC-DC converter controlled the duty cycle to track maximum power from PV under different insolation conditions. The duty cycle directly relate with a flux producing current control(i<SUB>ds</SUB>). The FOC inverter uses a current control voltage source inverter(CC-VSI). The simulation results are shown that the characteristics and performance of drive system, which varies as each conditions of light by expresses in voltage(V<SUB>dq</SUB>), current(I<SUB>dq</SUB>), speed of motor and torque.
최정식(Jung-Sik Choi),고재섭(Jae-Sub Ko),정동화(Dong-Hwa Jung) 한국조명·전기설비학회 2009 조명·전기설비학회논문지 Vol.23 No.1
본 논문은 최대전력점추적을 하는 PV 시스템을 이용한 펌핑시스템 구동을 위한 단상유도전동기의 벡터제어를 제시한다. 펌핑시스템은 벡터제어에 의한 원심 펌프를 구동하는 가변속 단상유도전동기를 사용한다. DC-DC 컨버터를 이용한 MPPT는 다양한 일사량에 따라 최대 전력을 추적하기 위해 듀티 사이클을 제어한다. 듀티 사이클은 자속을 발생시키는 전류(<SUP>i</SUP><SUB>ds</SUB>)와 직접적인 관계가 있다. 벡터제어 인버터는 CC-VSI를 사용한다. 시뮬레이션 결과는 일사량 변화에 따른 전압(<SUP>V</SUP><SUB>dq</SUB>), 전류(<SUP>i</SUP><SUB>dq</SUB>), 전동기 속도, 토크 등의 성능 및 특성을 나타낸다. This paper presents the vector control of single phase induction motor(SPIM) to operate water pumping system using PV system with a maximum power point tracking(MPPT). The water pumping system uses a variable speed SPIM driven a centrifugal pump by field oriented control(FOC) inverter. The MPPT using a DC-DC converter controlled the duty cycle to track maximum power from PV under different insolation conditions. The duty cycle directly relate with a flux producing current control (<SUP>i</SUP><SUB>ds</SUB>). The FOC inverter uses a current control voltage source inverter(CC-VSI). The simulation results are shown that the characteristics and performance of drive system, which varies as each conditions of light by expresses in voltage(<SUP>V</SUP><SUB>dq</SUB>), current(<SUP>i</SUP><SUB>dq</SUB>), speed of motor and torque.
Maximum Torque Control of an IPMSM Drive Using an Adaptive Learning Fuzzy-Neural Network
Ko, Jae-Sub,Choi, Jung-Sik,Chung, Dong-Hwa The Korean Institute of Power Electronics 2012 JOURNAL OF POWER ELECTRONICS Vol.12 No.3
The interior permanent magnet synchronous motor (IPMSM) has been widely used in electric vehicle applications due to its excellent power to weigh ratio. This paper proposes the maximum torque control of an IPMSM drive using an adaptive learning (AL) fuzzy neural network (FNN) and an artificial neural network (ANN). This control method is applicable over the entire speed range while taking into consideration the limits of the inverter's rated current and voltage. This maximum torque control is an executed control through an optimal d-axis current that is calculated according to the operating conditions. This paper proposes a novel technique for the high performance speed control of an IPMSM using AL-FNN and ANN. The AL-FNN is a control algorithm that is a combination of adaptive control and a FNN. This control algorithm has a powerful numerical processing capability and a high adaptability. In addition, this paper proposes the speed control of an IPMSM using an AL-FNN, the estimation of speed using an ANN and a maximum torque control using the optimal d-axis current according to the operating conditions. The proposed control algorithm is applied to an IPMSM drive system. This paper demonstrates the validity of the proposed algorithms through result analysis based on experiments under various operating conditions.