CAREER: Irregular Modulation: Harnessing the Hidden Potential of PWM

职业:不规则调制:利用 PWM 的隐藏潜力

基本信息

  • 批准号:
    2339806
  • 负责人:
  • 金额:
    $ 55万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2024
  • 资助国家:
    美国
  • 起止时间:
    2024-01-01 至 2028-12-31
  • 项目状态:
    未结题

项目摘要

Modulation, since the birth of modern power electronics, bridges control algorithms with switch operations. Despite its significance, research related to modulation has seen relatively little progress in the past decade, generally due to the widespread use of sequential computing devices (e.g. digital signal processors). However, recent breakthroughs in artificial intelligence (AI) technologies have propelled parallel computing devices into the forefront. To leverage the potential benefits of parallel computing devices and AI, this project proposes an irregular modulation theory, which can be easily applied to parallel computing devices and memristive devices. Additionally, this project will fully unlock the control capacity of modulation, enabling the control bandwidth to truly benefit from the high switching frequency brought in by Wide Bandgap (WBG) devices. This novel modulation approach will inevitably lead to the emergence of new topologies and control strategies, naturally giving rise to novel inverter modeling methodologies. Furthermore, the PI proposes a Mini-Task Inspired Learning Experience (M-TILE) approach to support students, particularly those from underrepresented groups, in overcoming imposter syndrome. To extend the impact of M-TILE, this concept will be shared with local K-12 teachers through a one-day workshop. By deeply integrating irregular modulation and the M-TILE concept, education activities will offer world-class education, inspiring and training future leaders in science, technology, engineering, and mathematics (STEM). The proposed irregular modulation theory will break free from the conventional idea of sawtooth and triangular carriers and lead to a new genre of converter modulation technologies. It will fundamentally change the operating principle of future power converters. Due to the fast response nature of modulation-control integration, it is possible to enable a new ultrafast control loop in addition to the classic double-loop control architecture. This new control loop will accommodate the recent advancement of AI technologies and lead to an entirely new genre of grid services. As a result of irregular modulation, a wide variety of new converter topologies, controls, and models will be revealed, holding the potential to eliminate vulnerable components and reduce voltage/current stress. Therefore, the irregular modulation theory proposed in this project will serve as the fundamental enabler of new topologies. This, in turn, will ultimately reduce device stress and component count, significantly lowering converter cost and enhancing reliability.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
调制,自现代电力电子产品的诞生以来,桥梁控制开关操作的算法。尽管具有重要意义,但与调制有关的研究在过去十年中的进展相对较小,通常是由于广泛使用顺序计算设备(例如数字信号处理器)。但是,最近的人工智能(AI)技术的突破已将平行计算设备推向了最前沿。为了利用并行计算设备和AI的潜在好处,该项目提出了一种不规则的调制理论,可以轻松地应用于并行计算设备和磁盘设备。此外,该项目将完全解锁调制的控制能力,从而使控制带宽能够真正受益于宽带gap(WBG)设备带来的高开关频率。这种新颖的调制方法将不可避免地导致新的拓扑和控制策略的出现,从而自然产生了新型的逆变器建模方法。 此外,PI提出了一种由小型任务启发的学习经验(M-TILE)方法,以支持学生,尤其是来自代表性不足的学生,以克服冒名顶替综合征。为了扩展M瓷砖的影响,将通过为期一天的研讨会与本地K-12教师共享这个概念。通过深入整合不规则的调制和M瓷砖概念,教育活动将提供世界一流的教育,启发和培训科学,技术,工程和数学(STEM)的未来领导者。提出的不规则调制理论将摆脱锯齿和三角形载体的常规思想,并导致转换器调制技术的新类型。它将从根本上改变未来电力转换器的运行原理。由于调制控制集成的快速响应性质,除经典的双环控制体系结构外,还可以启用新的超快控制环。这个新的控制循环将适应AI技术的最新进步,并导致全新的电网服务类型。由于调制不规则,将揭示各种新的转换器拓扑,控件和模型,以消除脆弱的组件并减少电压/电流应力。因此,该项目提出的不规则调制理论将成为新拓扑的基本推动因素。反过来,这最终将减少设备压力和组件数量,从而大大降低转换器成本并提高可靠性。该奖项反映了NSF的法定任务,并且使用基金会的知识分子优点和更广泛的影响评估标准,被认为值得通过评估来获得支持。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

暂无数据

数据更新时间:2024-06-01

Yunting Liu其他文献

Chiral Bifunctional Squaramide‐Catalyzed Highly Enantioselective Michael Addition of Allomaltol to β,γ‐Unsaturated α‐Ketoesters
手性双功能方酰胺催化异麦芽酚与 β,γ-不饱和 α-酮酯的高对映选择性迈克尔加成反应
  • DOI:
  • 发表时间:
    2014
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yunting Liu;Qiaohui Wang;Y. Wang;Hai;Zhenghong Zhou
    Yunting Liu;Qiaohui Wang;Y. Wang;Hai;Zhenghong Zhou
  • 通讯作者:
    Zhenghong Zhou
    Zhenghong Zhou
The Short-Run and Long-Run Components of Idiosyncratic Volatility and Stock Returns
特殊波动性和股票回报的短期和长期组成部分
  • DOI:
    10.1287/mnsc.2020.3884
    10.1287/mnsc.2020.3884
  • 发表时间:
    2021-02
    2021-02
  • 期刊:
  • 影响因子:
    5.4
  • 作者:
    Yunting Liu
    Yunting Liu
  • 通讯作者:
    Yunting Liu
    Yunting Liu
16S rRNA gene sequencing and machine learning reveal correlation between drug abuse and human host gut microbiota
16S rRNA 基因测序和机器学习揭示药物滥用与人类宿主肠道微生物群之间的相关性
  • DOI:
  • 发表时间:
    2023
    2023
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Yunting Liu;Pei Zhang;Hongmei Sheng;Ding Xu;Daixi Li;Lizhe An
    Yunting Liu;Pei Zhang;Hongmei Sheng;Ding Xu;Daixi Li;Lizhe An
  • 通讯作者:
    Lizhe An
    Lizhe An
Quasi-Static Time Series Fatigue Simulation for PV Inverter Semiconductors with Long-Term Solar Profile
具有长期太阳能曲线的光伏逆变器半导体的准静态时间序列疲劳仿真
The Real and Nominal Determinants of Stock and Bond Returns Comovement
股票和债券回报联动的实际和名义决定因素
  • DOI:
    10.2139/ssrn.3156301
    10.2139/ssrn.3156301
  • 发表时间:
    2018
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yunting Liu
    Yunting Liu
  • 通讯作者:
    Yunting Liu
    Yunting Liu
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