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Robust Control of Systems under Mixed Time/Frequency-Domain Performance Specifications and Applications

Robust Control of Systems under Mixed Time/Frequency-Domain Performance Specifications and Applications
混合时域/频域下系统的鲁棒控制性能指标及应用
批准号:
9211169
负责人:
Mario Sznaier
金额:
$9.87万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1992
资助国家:
美国
项目状态:
已结题
起止时间:
1992-08-15 至 1995-07-31

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中文摘要
翻译
一个成功的控制器设计范例必须 考虑到模型不确定性和 性能规格 模型不确定性可以 使用Hoo robust成功解决 控制框架。 然而,这一框架 无法适应现实情况, 除了稳健性考虑之外,该系统还 在时域和频域中 性能规格 在这项研究中,我们 建议制定一个强有力的控制框架, 明确考虑到这些规格。 具体而言,拟议研究的目标 (1)制定一套简单的措施 来描述一组给定的性能 在下列情况下,质量标准得到满足 不确定性 2)控制器的开发 合成过程中使用额外程度的 问题中的自由度最大化, 适当的业绩衡量标准, 控制器,实现所需的鲁棒性水平。 本研究将使用Youla参数化, 将问题转化为约束优化问题 form. 这项研究工作将导致一个 扩展的Hoo框架,能够解决 现实的问题,而不需要 近似或多次试错型 迭代,从而改进和降低成本 的设计. 由此产生的框架将用于 设计热电厂的控制器, 灵活的结构。 作为研究工作的一部分, 这些控制器将使用 模拟和原型结构。
英文摘要
A successful controller design paradigm must take into account both model uncertainty and performance specifications. Model uncertainty can be used successfully addressed using the Hoo robust control framework. However, this framework cannot accommodate the realistic case where in addition to robustness considerations, the system is subject to both time and frequency domain performance specifications. In this research we propose to develop a robust control framework that takes explicitly into account these specifications. Specifically, the objectives of the proposed research are: 1) Development of a set of simple measures to describe how well a given set of performance specifications is satisfied in the presence of uncertainty. 2) Development of a controller synthesis procedure that uses extra degrees of freedom available in the problem to maximize an appropriate performance measure over the set of controllers that achieve a desired robustness level. This research will use the Youla parametrization to cast the problem into constrained optimization form. This research effort will result in an expanded Hoo framework, capable of addressing realistic problems without necessitating approximations nor multiple trial and error type iterations, thus leading to improved and less costly designs. The resulting framework will be used to design controllers for thermal power plants and flexible structures. As part of the research effort, these controllers will be tested both using simulations and prototype structure.
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CPS:Medium: Safe Learning-Enabled Cyberphysical Systems
  • 批准号:
    2038493
  • 项目类别:
    Standard Grant
  • 资助金额:
    $87.87万
  • 财政年份:
    2020
  • 负责人:
    Mario Sznaier
  • 依托单位:
Collaborative Research: Data Driven Control of Switched Systems with Applications to Human Behavioral Modification
  • 批准号:
    1808381
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2018
  • 负责人:
    Mario Sznaier
  • 依托单位:
CPS: Frontier: Collaborative Research: Data-Driven Cyberphysical Systems
  • 批准号:
    1646121
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $27.0万
  • 财政年份:
    2017
  • 负责人:
    Mario Sznaier
  • 依托单位:
CRISP Type 2: Identification and Control of Uncertain, Highly Interdependent Processes Involving Humans with Applications to Resilient Emergency Health Response
  • 批准号:
    1638234
  • 项目类别:
    Standard Grant
  • 资助金额:
    $249.88万
  • 财政年份:
    2016
  • 负责人:
    Mario Sznaier
  • 依托单位:
国内基金
海外基金
Cortical control of internal state in the insular cortex-claustrum region