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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.
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.
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.
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.
퍼지제어를 적용한 태양광 발전의 고효율 추적시스템 설계
고재섭(Ko Jae-Sub),최정식(Choi Jung-Sik),정철호(Jung Chul-Ho),김도연(Kim Do-Yon),정병진(Jung Byung-Jin),정동화(Chung Dong-Hwa) 한국태양에너지학회 2008 한국태양에너지학회 학술대회논문집 Vol.- No.-
In this paper proposed the solar tracking system to use a fuzzy based on PC in order to increase an output of the PV array. The solar tracking system operated two DC motors driving by signal of photo sensor. The control of dual axes is not an easy task due to nonlinear dynamics and unavailability of the parameters. Recently, artificial intelligent control of the fuzzy control, neural-network and genetic algorithm etc. have been studied. The fuzzy control made a nonlinear dynamics to well perform and had a robust and highly efficient characteristic about a parameter variable as well as a nonlinear characteristic. Hence the fuzzy control was used to perform the tracking system after comparing with error values of setting-up, nonlinear altitude and azimuth. In this paper designed a fuzzy controller for improving output of PV array and evaluated comparison with efficient of conventional PI controller. The data which were obtained by experiment were able to show a validity of the proposed controller.
개선된 PO 방법을 이용한 태양광 발전의 MPPT 제어
고재섭(Jae-Sub Ko),정동화(Dong-Hwa Chung) 대한전기학회 2014 전기학회논문지 Vol.63 No.12
This paper proposes the method which is improved a performance of PO MPPT control in PV system. The PO method is continually changed voltage toward direction that increases power, and if output power is decreased by changing voltage, a power of the conventional PO method is changed to a power before one step. These operations causes reduce of MPPT performance. Therefore, this paper proposes the MPPT method that can be improved the performance of the conventional PO method. When voltage is changed to direction of reducing power, the method proposed in this paper is changed to the voltage the opposite direction of twice step size. The MPPT performance of proposed method in this paper is compared with conventional PO method and proved the validity of this paper using these results.
ALM-FNN 제어기에 의한 SynRM 드라이브의 최대토크 제어
고재섭(Jae-Sub Ko),남수명(Su-Myeong Nam),최정식(Jung-Sik Choi),정동화(Dong-Hwa Chung) 한국조명·전기설비학회 2005 한국조명·전기설비학회 학술대회논문집 Vol.2005 No.11월
The paper is proposed maximum torque control of SynRM drive using learning mechanism-fuzzy neural network(LM-FNN) controller and artificial network(ANN). The control method is applicable over the entire speed range and 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>Δ</SUB> for maximum torque operation is derived. The proposed control algorithm is applied to SynRM drive system controlled LM-FNN and ANN controller, the operating characteristics controlled by maximum torque control are examined in detail. Also, this paper is purposed the analysis results to verify the effectiveness of the LM-FNN and ANN controller.