• Proceedings of the KIPE Conference
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• 2012.11a
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• pp.237-238
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• 2012

본 연구는 태양전지용 실리콘 결정 성장용으로 개발된 150[KW] 3,000[A]의 PWM 컨버터 시스템을 개발한 결과이다. 시스템의 구성은 3상 AC-DC 정류변환기, DC-AC 고주파 변환 단상 전파 브리지 PWM 인버터, AC-DC 변압기 중성점을 이용한 단상 전파정류기로 구성되어 있다. 입력 전압은 3상 460[V]이며, 출력은 직류 60[V], 3000[A]로 카본 저항 $2[m{\Omega}]$의 부하에 인버터의 고주파 변압기를 사용하여 스위칭 주파수가 15[KHz]로 PWM제어 방식에 의하여 전력을 제어한다.

• Proceedings of the KIEE Conference
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• 1993.11a
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• pp.23-25
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• 1993

This paper presents a design technique of self-organizing fuzzy controller using a learning method of fuzzy inference rule by a gradient method for load frequency control of power system. The membership functions in antecedent part and in consequent part of fuzzy inference rules are tuned by the gradient method. The related simulation results show that the proposed fuzzy controller are more powerful than the conventional ones for reduction of undershoot and deviation of load frequency in steady-state, and for minimization of settling time.

• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.1021-1024
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• 1997

This paper has presented a method for self-tuning tile PID controller using a BP method of multilayered NNs. The proposed controller employ input signal as a learning signal of PID control. The proposed controller is applied to load-frequency control of power system and it is investigated a dynamic characteristic. The simulation results shows that proposed NN STPID controller has the good dynamics responses against load disturbances.

• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.1137-1140
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• 1997

This paper presents a fuzzy-neural network controller technique on the load frequency control of two-area power system. Firstly, Fuzzy controller a series of initial selected rules are improved by means of the proposed technique. Secondly, scale factors for error, change rate of error and control input are optimized by the given error back-pagation teaming algorithms. Finally, the related simulation results show that the proposed fuzzy neural network controller technique are more powerful than conventional ones.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.10a
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• pp.137-144
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• 1998

This paper proposed a optimal scale factors technique of a fuzzy-neural network for a load frequency control of two areas power system. The optimal scale factors control technique is optimize from an initial fuzzy logic control rule, and then is learned with an error back propagation learning algorithm of the fuzzy-neural network. In application two areas the load frequency control of the power system, it hopes to have response characteristic better than optimal control technique which is the conventional control technique and to show to minimize a frequency deviation and reaching and settling time of a tie line power flow deviation

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.12a
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• pp.237-240
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• 2000

본 논문에서는 ISM(Industrial Scientific Medical) 대역 424MHz부터 429MHz까지의 범위에서 동작하는 열차 후부 감시제어 시스템용 RF 전력증폭기를 설계 및 제작하였다. 424MHz대역에서의 2W급 대전력 증폭기의 설계방법으로는 Double Stub Tuner구조를 이용하여 최적 부하 임피던스를 추출하는 방법을 제시하였고, 초고주파 시뮬레이터인 Serenade8.0을 사용하여 Drive_amp와 LPF를 설계하였다. 제작된 Drive_amp와 LPF의 성능 및 특성은 시뮬레이션 한 결과와 거의 일치하였으며, 대전력 증폭기의 측정결과로는 추출하고자 하는 출력 레벨인 33㏈m을 얻을 누 있었고, 원신호의 Hamonic 주파수 성분과는 40.34㏈c의 결과를 보임으로써 안정된 전력증폭기를 구현하였다.

• Proceedings of the KIEE Conference
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• 1996.07b
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• pp.768-770
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• 1996

This paper propose neural network which is one of self-organizing techniques. It is composed neural network controller as input signal is error and change of error which is optimal output, and is learned system by using a error back-propagation learning algorithm is one of error mimizing learning methods. In order to achieve practical real time control reduce on learning time, it is applied to load-frequency control of nonlinear power system with using a moment learning method. It is described in such a case considering constraints for a rate of increace generation-rate.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.194-198
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• 2021

LoRa is a physical layer technology that is designed to provide a reliable long-range communication with introducing CSS and with introducing a loco parentis tree network. Since a leaf can utilize multiple parents at the same time with a single transmission, PDR increases logarithmically as the number of gateways increases. Because of the ALOHA-like MAC of LoRa, however, the PDR degrades even under the loco parentis tree topology similarly to the single-gateway environment. Our proposed method is aimed to achieve SDMA approach to reuse the same frequency in different areas. For that purpose, it elaborately controls each TxPower of the senders for each message in concurrent transmission to survive the collision at each different gateway. The gain from this so-called capture effect increases the capacity of resource-hungry LPWAN. Compared to a typical collision-free controlled-access scheme, our method outperforms by 10-35% from the perspective of the total count of the consumed time slots. Also, due to the power control mechanism in our method, the energy consumption reduced by 20-40%.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.1
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• pp.139-144
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• 2016

This paper describes functional circuits of DC-DC converter IC incorporated with variable frequency PFM technique. In case of output voltage of DC-DC converter is reached setting value or output current is low then PFM switching frequency is slow down. In this work a PFM signal generator, a PFM Frequency Control Circuit, an output voltage detector and an over current protection circuits are designed. This device has been designed at a $0.35[{\mu}m]$, double poly, double metal 12[V] CMOS process.

• 한국신재생에너지학회:학술대회논문집
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• 2010.11a
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• pp.73.2-73.2
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• 2010

휴대용 전자기기들의 소비전력 증가에 따라 2차전지에 비해 에너지 밀도가 높은 연료전지를 이용한 충전기의 필요성이 부각되고 있다. 대다수의 충전기는 On-Grid 방식으로 벅타입 컨버터를 이용한 감압 방식이었으나, 연료전지를 이용할 경우 승압식 컨버터를 통한 배터리의 충전이 요구된다. 또한 배터리는 일반 저항부하와 달리 큰 커패시턴스 성분을 가지고 있기 때문에 컨버터의 출력단에 인덕터가 없는 경우 큰 출력 리플전류를 유도하게 되어 시스템의 효율과 배터리의 수명에 좋지 않은 영향을 끼치게 된다. 또한 이를 해결하기 위해 절연형 감압 컨버터를 사용하는 경우 변압기 사용에 의한 부피 증가와 부가 소자의 사용에 따른 가격 상승을 피하기 어렵다. Cuk 컨버터는 주스위치의 ON/OFF 동작에 관계없이 출력으로 에너지가 항상 전달되며, 이상적으로 리플이 거의 존재하지 않아 충전용으로 적합하다. 또한, 승압 및 감압이 자유롭기 때문에 배터리의 정격전압에 상관없는 범용 충전기의 설계도 가능하다. 따라서 본 논문에서는 Cuk 컨버터를 이용하여 배터리 충전기를 설계하고, 그의 상태공간 모델링, 주파수 특성 해석 및 제어기 설계에 대해 기술한다. 제안된 제어 방식은 소형 연료전지 스택을 이용하여 실제 배터리를 대상으로 한 정전류 및 정전압 제어를 실행하여 그 성능 및 안정성을 검증한다.