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The More Electric Aircraft (MEA) system is being widely recognized as the future for the aerospace industry to meet the power demands of increasing electric loads, reducing aircraft emissions, improving fuel econo my, a nd lowering the cost of the total s yste m.Although MEA architecture offers significant overall system benefits in reliability, improved fuel efficiency, and reduced emissions, the MEA concept imposes increasing demands on the electrical power generation, conversion, and distribution. High power density electric machines, power electronics, and power distribution are the enabling technologies for the successful advancement of MEA, and there are still a number of areas where improvements must be made in terms of the weight, volume, cost and reliability of systems.T his Special Sessionis aiming tobring together researchers and practitioners from industry, research laboratories, academia and government to present the challenges and opportunities related toMEA.

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Topics of the Session

  • Advanced electrical machines and control technology: Brushless generators, starter/generators, fault tolerant motor and drives

  • High power density drive systems: EHA, EMA, et al

  • Ener gy co nversion devices and systems: Wide bandgap power devices, AC/DC, DC/DC, DC/AC, AC/AC, modular power converters

  • Stability issues of converters and systems: large or small signal stability issues and related analysis method, impedance based stability analysis and so o n

  • Ener gy ma na ge me nt of MEA: opti miza tion o f the e nergy s yste ms, renewable energy applications, and energy storage technologies

  • Power quality ma na ge me nt o f MEA: power quality a nal ysis and co ntrol methods s uc h as the  passive or the active control methods, Built-in-test technology for electrical power systems,fault diagnosis and prognostics

  • Reconfiguration and restoration of MEA: centralized, decentralized and distributed algorithms, multi-agent based technologies and so on·Power electronics based fault isolation method for MEA: fault characteristic analysis, circuit breaker technologies, anticipate to use power electronics and advanced controls to quickly identify and isolate fault

  • Relevant simulation techniques for MEA: co-simulation, mul ti-domain si mulation a nd  hardware-in-the-loop simulation.

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重要日期
  • 会议日期

    10月29日

    2017

    11月01日

    2017

  • 11月01日 2017

    注册截止日期

主办单位
IEEE工业电子学会
承办单位
中国科学院自动化研究所
东南大学
中国科学院数学与系统科学学院
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