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임영철(Young-Cheol Lim),정영국(Young-Gook Jung) 한국조명·전기설비학회 2010 조명·전기설비학회논문지 Vol.24 No.9
This paper proposes a new type of voltage sag-swell compensator based on a Z-source AC-AC converter. The proposed topology employs a pulse width modulation (PWM) Z-source AC-AC converter along with a injection transformer. A safe commutation strategy is used to eliminate voltage spikes on switches without snubber circuit. During a voltage sag or swell, the proposed system controls the adding or missing voltage and maintains the rated voltage of sinusoidal waveform at the terminals of the critical loads. The proposed system is able to compensate 20[%] voltage swell and is also able to compensate 60[%] voltage sag. In order to control and detect the voltage sag and swell, the peak voltage detection method is applied. Also, the operating principles of the proposed system are described, and a circuit analysis is provided. Finally, PSIM simulation and experimental results are presented to verify the proposed concept and theoretical analysis.
마이크로컨트롤러를 이용한 유동전동기의 퍼지속도제어기 설계
임영철(LIM Young-Cheol),나석환(NA Seok-Hwan),안정훈(AHN Jeong-Hoon) 한국조명·전기설비학회 1998 한국조명·전기설비학회 학술대회논문집 Vol.1998 No.-
A speed controller of a induction motor using Microcontroller and Fuzzy logic is presented in the paper. Generally, fuzzy logic controller is known as a controller which can be coped with a non-linear and a complex system. A fuzzy logic is used for robust and fast speed control and space vector modulation method is used for PWM wave generation in this proposed system. The results of experiment show excellence of the proposed system and that the proposed system is appropriate to control the speed of a induction motor for industrial application.
임영철(Young-Cheol Lim),변성천(Sung-Chun Byun),김의선(Eui-Sun Kim),장영학(Young-Hak Chang) 한국조명·전기설비학회 1998 한국조명·전기설비학회 학술대회논문집 Vol.1998 No.-
To manage lead-acid battery efficiently and to use it longer in UPS, the state of charge(SOC) indicator of the battery is needed. So a new approach to developing battery SOC indicator for UPS is discussed in this paper. This method to determining SOC by combining the available data of discharge characteristics of a battery with neural network(NN) is presented. The 3-layered NN with back propagation algorithm has been used Exprement results show that the proposed method is appropriate as SOC indicator of the battery.