http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
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.
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.
AFLC-FNN 제어기에 의한 IPMSM의 효율 최적화 제어
최정식(Jung Sik Choi),고재섭(Jae Sub Ko),이정호(Jung Ho Lee),김종관(Jong Kwan Kim),박기태(Ki Tae Park),박병상(Byung Sang Park),정동화(Dong-Hwa Chung) 대한전기학회 2006 대한전기학회 학술대회 논문집 Vol.2006 No.4
Interior permanent magnet synchronous motor(IPMSM) has become a popular choice in electric vehicle applications. This paper proposes efficiency optimization control of IPMSM drive using AFLC-FNN(Adaptive Fuzzy Learning Control Fuzzy Neural Network)controller. In order to maximize the efficiency in such applications, this paper proposes the optimal control method of the armature current. The optimal current can be decided according to the operating speed and the load conditions. This paper proposes speed control of IPMSM using AFLC-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 AFLC-FNN controller, the operating characteristics controlled by efficiency optimization control are examined in detail.
최정식(Choi Jung-Sik),고재섭(Ko Jae-Sub),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 a novel tracking system is described, regarding the influence of shadow between array, aimed at improving the efficiency of PV tracking system. Comparing with a building site versus capacity power, domestic solar powers have a limited siting. Therefore, each array interferes with the shadow of other arrays. The loss by influence of those shadow can be compensated for by means of control algorithm of the tracking device. The paper suggests a method controlling an altitude for length which is received the shadow influence of PV array. By using an azimuth of current solar position and the length between arrays, the controller of tracking device is able to calculate the length between actual arrays and make a comparison of the shadow length at a specific time with the length between arrays. When the shadow length is longer than the length between arrays, the controller of tracking device can adjust a position by compensating error altitude of the length between arrays at an altitude of current solar position. In the paper, we develop tile control algorithm able to minimize the loss caused by tile influence of shadow on the PV tracking system, and compared this with conventional output system. The controller has been tested in the laboratory with proposed algorithm and shows excellent performance.
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.
최정식(Jung-Sik Choi),고재섭(Jae-Sub Ko),정철호(Chul-Ho Jung),김도연(Do-Yeon Kim),정병진(Byung-Jin Jung),정동화(Dong-Hwa Chung) 대한전기학회 2008 대한전기학회 학술대회 논문집 Vol.2008 No.4
This paper proposes a the high efficiency tracking system regarding power loss when operating a tracking system for environment variable such as a rapidly changing insolation to improve the power of PV tracking system In case of tracking an azimuth and altitude of the sun in realtime, therefore. the actual PV power is less increasing than the power of tracking system fixed a specific position. To reduce the power loss, this paper proposes a nonel control algorithm of the tracking system. The paper is analyzed efficiency about conventional PV tracking method, comparing proposed algorithm with high performance method. We show propriety of proposed algorithm by means of the demonstrable study.
신경회로망을 이용한 IPMSM 드라이브의 온라인 파라미터 추정
최정식(Jung Sik Choi),고재섭(Jae Sub Ko),이정호(Jung Ho Lee),김종관(Jong Kwan Kim),박기태(Ki Tae Park),박병상(Byung Sang Park),정동화(Dong-Hwa Chung) 대한전기학회 2006 정보 및 제어 심포지엄 논문집 Vol.2006 No.1
A number of techniques have been developed for estimation of speed or position in motor drives. The accuracy of these techniques is affected by the variation of motor parameters such as the stator resistance, stator inductance or torque constant. This paper is proposed a neural network based estimator for torque and ststor resistance in IPMSM Drives. The neural weights are initially chosen randomly and a model reference algorithm adjusts those weights to give the optimum estimations. The neural network estimator is able to track the varying parameters quite accurately at different speeds with consistent performance. The neural network parameter estimator has been applied to slot and flux linkage torque ripple minimization of the IPMSM. The validity of the proposed parameter estimator is confirmed by the operating characteristics controlled by neural networks control.
유도전동기의 고성능 제어를 위한 적응 퍼지-뉴로 제어기
최정식(Jung-Sik Choi),남수명(Su-Myung Nam),고재섭(Jae-Sub Ko),정동화(Dong-Hwa Jung) 한국조명·전기설비학회 2005 한국조명·전기설비학회 학술대회논문집 Vol.2005 No.11월
This paper is proposed adaptive fuzzy-neuro controller for high performance of induction motor drive. The design of this algorithm based on fuzzy-neural network controller that is implemented using fuzzy control and neural network. This controller uses fuzzy rule as training patterns of a neural network. Also, this controller uses the back-propagation method to adjust the weights between the neurons of neural network in order to minimize the error between the command output and actual output. A model reference adaptive scheme is proposed in which the adaptation mechanism is executed by fuzzy logic based on the error and change of error measured between the motor speed and output of a reference model. The control performance of the adaptive fuzzy-neuro controller is evaluated by analysis for various operating conditions. The results of experiment prove that the proposed control system has sang high performance and robustness to parameter variation and steady-state accuracy and transient response.
유도전동기 구동을 위한 태양광 발전의 Fuzzy-Based MPPT 제어
최정식(Jung-Sik Choi),고재섭(Jae-Sub Ko),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
This paper is proposed by fuzzy-based MPPT control of photovoltaic to drive induction motor. Design and prototype implement of a fuzzy logic(FL) controller for maximum power extraction from a stand-alon photovoltaic is proposed in this paper. Error and the change of error between maximum power and real power are used by input of fuzzy controller. Moreover, it output changing of voltage from control constant. The validity of this paper is proved by comparing maximum power point tracking and performance of motor drive through comparison fuzzy and PI of tradition method.