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Control of Electrochemical Batch Processes

Control of Electrochemical Batch Processes
电化学间歇过程的控制
批准号:
9503437
负责人:
Karlene Hoo
金额:
$6.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1995
资助国家:
美国
项目状态:
已结题
起止时间:
1995-05-01 至 1996-04-30

项目摘要

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中文摘要
翻译
摘要-科萨诺维奇通过改善化学反应器的运行性能,可以降低化学品的制造成本。实现这一点的一种方法是通过及时控制操作变量。对于批处理系统,这对于保持最终产品的质量很重要。这项研究的目的是为电化学间歇过程开发新的鲁棒反馈控制公式,以满足在面对模型不确定性和扰动时的多个性能目标。该配方具有通用性,也可应用于其他间歇体系。具体地说,本项目包括三个关于间歇系统建模和控制的新的基本方法的研究:(1)开发用于模型预测控制策略的非文具化间歇过程的时变状态空间模型;(2)使用多分辨率(小波)分析进行系统辨识;以及(3)为过程的多分辨率表示制定控制器策略。这项研究将包括对电化学批处理系统的概念进行实验演示。还将致力于开发有效的计算程序。计划的职业发展活动包括六个月的严格方法学学习,两个夏季的工业合作项目,以及四个月的实验室规模电化学间歇过程的教材准备和实验演示。与本研究目标相关的方法有:(1)多分辨率理论;(2)模型预测和最优控制理论;(3)电化学系统理论。这些活动的实验部分包括一个合作项目,提供工业现场系统操作的实践经验,以及与部门同事在电化学系统方面的合作。其他活动包括积极参与中级和国际研讨会和研讨会,一名博士后研究员的协助,以及开发一门将间歇系统理论与实验相结合的研究生控制课程。
英文摘要
Abstract - Kosanovich The manufacturing cost of chemicals can be decreased by improving the operating performance of chemical reactors. One way to accomplish this is through timely control of the operating variables. For batch systems, this is important to maintaining the quality of the final product. This research is to develop new robust, feedback control formulations for electrochemical batch processes that satisfy multiple performance objectives in the face of model uncertainties and disturbances. The formulation is general and can be applied to other batch systems as well. Specifically, this project consists of three studies on new fundamental approaches to the modelling and control of batch systems: (1) development of a time-varying state space model of the non-stationery batch process for use in a model predictive control strategy; (2) system identification using multi-resolution (wavelet) analysis; and (3) formulation of a controller strategy for a multi-resolution representation of the process. The research will include and experimental demonstration of the concepts on an electrochemical batch system. Effort will also be devoted to the development of effective computational procedures. The planned career advancement activities include six months of rigorous study in the methodologies, two summer months in a cooperative industrial program, and four months devoted to educational material preparation and experimental demonstration on a laboratory scale electrochemical batch process. The methodologies that are relevant to the goals of this study are (1) multi-resolution theory, (2) model predictive and optimal control theory; and (3) theory of electrochemical systems. The experimental portimn of the activities include a cooperative program that provides hands-on experience in the operations of systems at an industrial site and collaboration with department colleagues on electrochemical systems. Other activities include active participation in workshops and seminars, both do mestic and international, assistance of a post-doctoral research fellow, and development of a graduate control course that combines theory with experiments on batch systems.
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Collaborative Research: 2019 AGEP National Research Meeting
  • 批准号:
    1948179
  • 项目类别:
    Standard Grant
  • 资助金额:
    $7.51万
  • 财政年份:
    2019
  • 负责人:
    Karlene Hoo
  • 依托单位:
Collaborative Research: 2019 AGEP National Research Meeting
  • 批准号:
    1742478
  • 项目类别:
    Standard Grant
  • 资助金额:
    $11.03万
  • 财政年份:
    2017
  • 负责人:
    Karlene Hoo
  • 依托单位:
Workshop: Networking Across the Profession to Better Use Cyberspace Tools For Discovery-Based Learning (Seatlle, WA, June 14, 2008)
  • 批准号:
    0833075
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.73万
  • 财政年份:
    2008
  • 负责人:
    Karlene Hoo
  • 依托单位:
ADVANCE Partnerships for Adaptation, Implementation and Dissemination: Partnership of Women in Engineering, Research and Science - PoWERS
  • 批准号:
    0618406
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2006
  • 负责人:
    Karlene Hoo
  • 依托单位:
海外基金