• Title/Summary/Keyword: O%2FLC

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A Novel Photovoltaic Power Harvesting System Using a Transformerless H6 Single-Phase Inverter with Improved Grid Current Quality

  • Radhika, A.;Shunmugalatha, A.
    • Journal of Power Electronics
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    • v.16 no.2
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    • pp.654-665
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    • 2016
  • The pumping of electric power from photovoltaic (PV) farms is normally carried out using transformers, which require heavy mounting structures and are thus costly, less efficient, and bulky. Therefore, transformerless schemes are developed for the injection of power into the grid. Compared with the H4 inverter topology, the H6 topology is a better choice for pumping PV power into the grid because of the reduced common mode current. This paper presents how the perturb and observe (P&O) algorithm for maximum power point tracking (MPPT) can be implemented in the H6 inverter topology along with the improved sinusoidal current injected to the grid at unity power factor with the average current mode control technique. On the basis of the P&O MPPT algorithm, a power reference for the present insolation level is first calculated. Maintaining this power reference and referring to the AC sine wave of bus bars, a sinusoidal current at unity power factor is injected to the grid. The proportional integral (PI) controller and fuzzy logic controller (FLC) are designed and implemented. The FLC outperforms the PI controller in terms of conversion efficiency and injected power quality. A simulation in the MATLAB/SIMULINK environment is carried out. An experimental prototype is built to validate the proposed idea. The dynamic and steady-state performances of the FLC controller are found to be better than those of the PI controller. The results are presented in this paper.

Variation of Bolting at Cultivation of Different Regions and Molecular Characterization of FLC homologs in Angelica gigas Nakai (재배 지대에 따른 참당귀의 추대 변이와 FLC 유전자 특성)

  • Kim, Young-Guk;Yeo, Jun-Hwan;An, Tae-Jin;Han, Sin-Hee;Ahn, Young-Sup;Park, Chung-Beom;Jang, Yun-Hee;Kim, Jeong-Kook
    • Korean Journal of Medicinal Crop Science
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    • v.20 no.5
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    • pp.359-364
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    • 2012
  • This study were carried out to find bolting response of cultivation in different regions and to isolate FLC (FLOWERING LOCUS C) homologs in Angelica gigas Nakai. The mean temperature of different regions, ordering in altitude, were as follows: 100 m > 350 m > 530 m > 700 m. The largest amount of rainfall was occurred in the region of 350 m while the longest time of sunshine was occurred in the region of 100 m. The content of soil chemical properties in regions showed pH 6.2 ~ 7.4, T-N 0.17 ~ 26, organic mater $1{\sim}32gkg^{-1}$, $P_2O_5$ ${151{\sim}664_{mgkg}}^{-1}$, exchangeable potassium and calcium and magnesium were 0.78 ~ 1.15, 3.9 ~ 10.0, ${0.7{\sim}3.2_{cmol}}^{+kg-1}$. L5 line of A. gigas was occurred in bolting at all regions, but the bolting ratio was 60.0% in 700 m region with non-mulching treatment. Manchu of A. gigas was not occurred in bolting at all regions. The accumulation bolting ratio of L5 line by non-mulching was higher than that of mulching as 90.4% and 72.8% in 100 m region. The MADS-box transcription factor FLC is one of the well-known examples as a strong floral repressor. We decided to isolate FLC homologs from A. gigas as a starting point of flowering mechanism research of this plant. We have isolated two RT-PCR products which showed very high amino acid sequence homology to Arabidopsis FLC.

Application of Genetic Algorithm to Hybrid Fuzzy Inference Engine

  • Park, Sae-hie;Chung, Sun-tae;Jeon, Hong-tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.2 no.3
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    • pp.58-67
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    • 1992
  • This paper presents a method on applying Genetric Algorithms(GA), which is a well-know high performance optimizing algorithm, to construct the self-organizing fuzzy logic controller. Fuzzy logic controller considered in this paper utilized Sugeno's hybrid inference method. which has an advantage of simple defuzzification process in the inference engine. Genetic algorithm is used to find the iptimal parameters in the FLC. The proposed approach will be demonstrated using 2 d. o. f robot manipulator to verify its effectiveness.

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Application of genetic algorithm to hybrid fuzzy inference engine (유전 알고리즘에 의한 Hybrid 퍼지 추론기의 구성)

  • 박세희;조현찬;이홍기;전홍태
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.863-868
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    • 1992
  • This paper presents a method on applying Genetic Algorithm(GA), which is a well-known high performance optimizing algorithm, to construct the self-organizing fuzzy logic controller. Fuzzy logic controller considered in this paper utilizes Sugeno's hybrid inference method, which has an advantage of simple defuzzification process in the inference engine. Genetic algorithm is used to find the optimal parameters in the FLC. The proposed approach will be demonstrated using 2 d.o.f robot manipulator to verify its effectiveness.

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Noise Reduction of PPG Signal During Free Movements Using Adaptive SFLC(Scaled Fourier Linear Combiner) (적응 SFLC(Scaled Fourier Linear Combiner)를 이용한 활동 중의 PPG 신호의 잡음 감소)

  • Kim, Sung-Min;Cha, Eun-Jong;Kim, Deok-Won;Yoo, Jae-Ha;Kim, Dong-Yon;Kim, Soo-Chan
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.55 no.3
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    • pp.138-141
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    • 2006
  • Blood flow is one of vital signals related to human physiological information. Photoplethysmograph (PPG) has been used to measure indirectly heart rate, blood oxygen saturation ($SpO_2$), and so on. Because PPG signal is weak and sensitive to motion artifacts, it is very important to continuously obtain stable PPG signal during free movement. In this study, we applied the scaled Fourier linear combiner (SFLC) using both the adaptive filter and FLC to remove effectively the motion artifacts as well as background noise in the real time without additional signal correlated with motion from a accelerometer. The proposed method would be useful to reduce the movement and background noise which are not synchronized with heart rate.

The influence of magmatic rock thickness on fracture and instability law of mining surrounding rock

  • Xue, Yanchao;Sun, Wenbin;Wu, Quansen
    • Geomechanics and Engineering
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    • v.20 no.6
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    • pp.547-556
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    • 2020
  • An understanding of the influence of MR (Magmatic Rock) thickness on the surrounding rock behaviors is essential for the prevention and management of dynamic disasters in coal mining. In this study, we used FLC3D to study the breaking and instability laws of surrounding rock with different MR thicknesses in terms of strata movement, stress and energy. The mechanism of dynamic disasters was revealed. The results show that the thicker the MR is, (1) the smaller the subsidence of the overlying strata is, but the subsidence span of the overlying strata become wider, and the corresponding displacement deformation value of the basin edge become smaller. (2) the slower the growth rate of abutment pressure in front of the working face is, but the peak value is smaller, and the influence range is larger. The peak value decreases rapidly after the breaking, and the stress concentration coefficient is maintained at about 1.31. (3) the slower the peak energy in front of coal wall, but the range of energy concentration increases (isoline "O" type energy circle). Finally, a case study was conducted to verify the disaster-causing mechanism. We anticipate that the research findings presented herein can assist in the control of dynamic hazards.