Dynamic Models for Electrodynamic Suspended Magnetic Levitation
Dynamic Models for Electrodynamic Suspended Magnetic Levitation
批准号:
0220386
负责人:
Brad Paden
金额:
$24.97万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-09-15 至 2005-08-31
中文摘要
PI:布拉德E. Paden机构:加州大学圣巴巴拉分校提案编号:0220386提案标题:“电动悬浮磁悬浮的动态模型”摘要:本项目的新奇在于应用数学分析来研究电动悬浮(EDS)磁悬浮(Maglev)的动态特性。本研究的目的是:a)开发、验证和分析开孔轨道上EDS的动力学模型,B)调查所提出的技术在设计参数和悬浮控制策略方面的基本局限性,c)指导磁悬浮的进一步技术发展,d)促进具有成本效益的工程设计。 智能价值在于从功能分析和动力系统的工具,以推动磁悬浮技术的发展,并介绍这些工具的磁悬浮研究界的应用。该计划从而推进磁悬浮知识,并跨越系统理论,动力系统和功能分析和磁悬浮领域。 通过研究穿孔轨道EDS磁悬浮在设计参数和悬浮控制策略方面的基本局限性,我们指导技术发展和新的磁悬浮技术的提前发现,并促进工程设计。了解物理限制将从根本上推进磁悬浮的知识,我们的目标是定义磁悬浮技术中的新研究方向。建议的研究是组织良好的动态建模,数学分析,实验验证和传播的结果在工程和数学界的凝聚力计划。 我们的可用资源主要是通过与磁悬浮,动力系统和控制理论,数学和工业领域的研究人员的互动。我们正在与LLNL的Richard Post博士进行互动,他是Inducttrack悬浮概念的发明者和专利保持器持有人,确保了对磁悬浮建模的支持。加州大学圣巴巴拉分校(UCSB)控制工程和计算中心的强大地位通过其来自机电工程和数学多个部门的附属成员在无限维动力系统和控制理论方面提供了宝贵的支持。MagTube是一家新成立的风险投资公司,位于我们的校园附近,提供磁悬浮设计中重要工程问题的专业知识,并确保与行业的关系。 磁悬浮技术有可能对整个社会产生重大影响,因为它可以促进高效的高速运输,而不直接燃烧化石燃料,而且能源效率比现有的地面、空中和海上运输方式高得多。这项研究也将有助于MagTube的创新运输概念(在经过严格审查的财务分析后,该公司获得了200万美元的风险投资)一个基于磁悬浮胶囊在真空管道中移动的高速运输网络的自动化网络系统,类似于通信技术中的分组交换网络。这项研究将通过支持PI,因为他与乐高机器人,其中涉及中学教师和学生从拉丁美洲社区的工作。该实验装置将通过建立仪器和数据采集能力来加强UCSB的研究基础设施。这些设备还将有助于PI的研究生动力学和控制实验室课程中使用的教育设施,该课程与加州大学圣巴巴拉分校的电气和计算机工程系合作教授。通过参加会议和出版期刊,在磁悬浮、动力系统和控制研究的论坛上传播研究成果。我们的实验结果,数据和模拟模型将通过互联网提供,以实现有效的数据共享。最后,我们已经与MagTube和General Atomic进行了重要的互动,他们旨在将感应轨道技术商业化。
英文摘要
PI: Brad E. Paden Institution: Univ California-Santa BarbaraProposal Number: 0220386Proposal Title: "Dynamic Models for Electrodynamic Suspended Magnetic Levitation" Abstract: The novelty in this project is the application of mathematical analysis to investigate the dynamic properties of electrodynamic suspension (EDS) magnetic levitation (maglev). Objective of the research are to: a) develop, validate and analyze dynamical models for EDS on a perforated track, b) investigate fundamental limitations of the proposed technology with respect to design parameters and levitation control strategies, and c) guide the further technological development of maglev, and d) facilitate cost effective engineering designs. The intellectual merit lies in the application of tools from functional analysis and dynamical systems to forward the development of maglev technology, and to introduce these tools to the maglev research community. The program thereby advances knowledge in maglev, and across the fields of system theory, dynamical systems and functional analysis and magnetic levitation. By investigating the fundamental limitations of perforated track EDS maglev with respect to design parameters and levitation control strategies, we guide the technological development of and advance discovery of new maglev technology and facilitate engineering design. Understanding physical limitation will advance knowledge of maglev in a fundamental way, and we aim to define new research directions within maglev technology. The suggested research is well-organized through a cohesive plan of dynamical modeling, mathematical analysis, experimental validation and dissemination of results in engineering and mathematics communities. Our available resources is primarily through interactions with researchers within the field of maglev, dynamical systems and control theory, mathematics, and industry. Our ongoing interaction with Dr. Richard Post at LLNL, the inventor and patent holder of the Inductrack levitation concept, ensures support on the modeling of maglev. The strong position of the Center for Control Engineering and computation at the University of California at Santa Barbara (UCSB) gives valuable support in infinite dimensional dynamical systems and control theory through its affiliated members from multiple departments among Mechanical and Electrical engineering and Mathematics. MagTube, a newly started venture capital funded company located adjacent to our campus, provides know-how on important engineering issues in maglev design, and ensures relations with industry. Maglev technology has potential for significant impact on society at large by promoting efficient high speed transportation without direct combustion of fossil fuels, and with substantially higher energy efficiency than existing means of ground, air and sea transportation. The research will also contribute to MagTube.s innovative transportations concept (which has received $2 million in venture capital after a critically reviewed financial analysis) of a high speed transportation network based on magnetically levitated capsules moving in evacuated tubes in an automated network system resembling packet switched networks in communication technology.This research will broaden the participation of underrepresented groups through support of the PI as he works with the LEGO-Robotics, which involves secondary school teachers and students from Latino communities. The experimental apparatus will enhance the infrastructure for research at UCSB by establishing instrumentation and data acquisition capabilities. The equipment will also contribute to the education facilities used in the PI's graduate dynamics and control lab course taught in collaboration with the Electrical and Computer Engineering Department at UC Santa Barbara. Research dissemination will be performed to fora on maglev, dynamical systems and control research, through conference attendance and journal publication. Our experimental results, data and simulation models will be made available through the internet for effective data sharing. Lastly, we have already significant interaction with MagTube and General Atomic who aims to commercialize the inductrack technology.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Periodicity and Power Minimization in Maglev Artificial Hearts
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批准号:0401267
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项目类别:Standard Grant
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资助金额:$21.0万
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财政年份:2004
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负责人:Brad Paden
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依托单位:
Nonlinear Repetitive Control
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批准号:9800294
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项目类别:Standard Grant
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资助金额:$0.0万
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财政年份:1998
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负责人:Brad Paden
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依托单位:
Magnetic Servo Levitation With Large Air Gaps
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批准号:8908540
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项目类别:Continuing grant
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资助金额:$0.0万
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财政年份:1989
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负责人:Brad Paden
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依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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项目类别:合作创新研究团队
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资助金额:--
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依托单位:
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批准号:20472090
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