RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제
      • 좁혀본 항목 보기순서

        • 원문유무
        • 원문제공처
        • 등재정보
        • 학술지명
        • 주제분류
        • 발행연도
        • 작성언어
        • 저자
          펼치기

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • KCI등재

        Modeling and Deep Reinforcement Learning Based Control Parameter Tuning for Voltage Source Converter in a Renewable Energy Generation System

        Xing Yankai,Zhang Guangdou,Wang Baolu,Li Jian,Bamisile Olusola,Cai Dongsheng,Huang Qi 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.2

        The fast response and low inertia characteristics of converter-based generation (CBG) lead to a new stability issue that limits renewable energy development. This is due to the fact that, using traditional control theory as basic, there is no unifed and efective way to linearize the electronic device and set the parameters in the existing analysis method. In order to optimize the parameters tuning process of the converter control, a benchmark model is adopted in this paper, and the linearization model is updated by selecting suitable variables and detailed with considering the infuence of resistance of the converter. Based on this model, the stability margin related to the parameters of the system is analyzed. Furthermore, to consider more dynamics and make the converter controller focus on the topologies and scenarios, the dynamic response of a disturbance in the grid is selected as the iteration state to design a controller using Deep Reinforcement Learning (DRL). That is, the cascaded voltage and current control along with droop control are tuned by Deep Deterministic Policy Gradient (DDPG) algorithm in the linearized model. The validation tests are carried out on the nonlinear model in Simulink test and real-time platform. They indicate that the proposed linearization and tuning method provides more accuracy and stability for the power system in various grid conditions.

      • KCI등재

        Frame Vibration Suppression Method for Sensorless PMSM Drive Applications

        Supharat Suthep,Yankai Wang,Muneaki Ishida,Naoki Yamamura,Kazuhiro Yubai,Satoshi Komada 전력전자학회 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.6

        This study proposes a novel frame anti-vibration controller for position sensorless PMSM drive application. This controller is called specific component reduction controller (SCRC). SCRC can function without an accelerometer and can achieve speed variable control. This study mainly comprises the following phases. First, the position sensorless control method will be provided. Second, the frame vibration model and load torque ripple will be shown. Third, SCRC will be discussed and its stability will be analyzed. Finally, experimental results show that SCRC can achieve speed variable anti-vibration control and compensate target frequency torque ripple.

      • SCIESCOPUSKCI등재

        Frame Vibration Suppression Method for Sensorless PMSM Drive Applications

        Suthep, Supharat,Wang, Yankai,Ishida, Muneaki,Yamamura, Naoki,Yubai, Kazuhiro,Komada, Satoshi The Korean Institute of Power Electronics 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.6

        This study proposes a novel frame anti-vibration controller for position sensorless PMSM drive application. This controller is called specific component reduction controller (SCRC). SCRC can function without an accelerometer and can achieve speed variable control. This study mainly comprises the following phases. First, the position sensorless control method will be provided. Second, the frame vibration model and load torque ripple will be shown. Third, SCRC will be discussed and its stability will be analyzed. Finally, experimental results show that SCRC can achieve speed variable anti-vibration control and compensate target frequency torque ripple.

      • KCI등재

        Effects of Microbiota on the Treatment of Obesity with the Natural Product Celastrol in Rats

        Weiyue Hu,Lingling Wang,Guizhen Du,Quanquan Guan,Tianyu Dong,Ling Song,Yankai Xia,Xinru Wang 대한당뇨병학회 2020 Diabetes and Metabolism Journal Vol.44 No.5

        Background: Obesity has become one of the most serious issues threatening the health of humankind, and we conducted this study to examine whether and how celastrol protects against obesity. Methods: We fed male Sprague-Dawley rats a high-fat diet and administered celastrol to obese rats for 3 weeks. By recording body weight (BW) and other measures, we identified the effective dose of celastrol for obesity treatment. Feces were collected to perform 16S rRNA sequencing, and hypothalami were extracted for transcriptome sequencing. We then treated leptin knockout rats with celastrol and explored the changes in energy metabolism. Male Institute of Cancer Research (ICR) mice were used to test the acute toxicity of celastrol. Results: We observed that celastrol reduced BW and promoted energy expenditure at a dose of 500 μg/kg BW but that food intake was not changed after administration. The diversity of the gut microbiota was improved, with an increased ratio of Bacteroidetes to Firmicutes, and the gut microbiota played an important role in the anti-obesity effects of celastrol. Hypothalamic transcriptome analysis showed a significant enrichment of the leptin signaling pathway, and we found that celastrol significantly enhanced energy expenditure, which was mediated by the leptin signaling pathway. Acute lethal toxicity of celastrol was not observed at doses ranging from 0 to 62.5 mg/kg BW. Conclusion: Our study revealed that celastrol decreased the BW of obese rats by enhancing energy expenditure but not by suppressing food intake and that this effect was mediated by the improvement of the gut microbiota and the activation of the hypothalamic leptin signaling pathway.

      • SCISCIESCOPUS

        Ultrathin Two-Dimensional Atomic Crystals as Stable Interfacial Layer for Improvement of Lithium Metal Anode

        Yan, Kai,Lee, Hyun-Wook,Gao, Teng,Zheng, Guangyuan,Yao, Hongbin,Wang, Haotian,Lu, Zhenda,Zhou, Yu,Liang, Zheng,Liu, Zhongfan,Chu, Steven,Cui, Yi American Chemical Society 2014 NANO LETTERS Vol.14 No.10

        <P>Stable cycling of lithium metal anode is challenging due to the dendritic lithium formation and high chemical reactivity of lithium with electrolyte and nearly all the materials. Here, we demonstrate a promising novel electrode design by growing two-dimensional (2D) atomic crystal layers including hexagonal boron nitride (h-BN) and graphene directly on Cu metal current collectors. Lithium ions were able to penetrate through the point and line defects of the 2D layers during the electrochemical deposition, leading to sandwiched lithium metal between ultrathin 2D layers and Cu. The 2D layers afford an excellent interfacial protection of Li metal due to their remarkable chemical stability as well as mechanical strength and flexibility, resulting from the strong intralayer bonds and ultrathin thickness. Smooth Li metal deposition without dendritic and mossy Li formation was realized. We showed stable cycling over 50 cycles with Coulombic efficiency ∼97% in organic carbonate electrolyte with current density and areal capacity up to the practical value of 2.0 mA/cm<SUP>2</SUP>and 5.0 mAh/cm<SUP>2</SUP>, respectively, which is a significant improvement over the unprotected electrodes in the same electrolyte.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/nalefd/2014/nalefd.2014.14.issue-10/nl503125u/production/images/medium/nl-2014-03125u_0005.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/nl503125u'>ACS Electronic Supporting Info</A></P>

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼