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Research Initiation Award: Robust Control of Chemical Processes

研究启动奖：化学过程的鲁棒控制

基本信息

批准号：
9309659
负责人：
Oscar Crisalle
金额：
$ 10万
依托单位：
University of Florida
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
1993
资助国家：
美国
起止时间：
1993-05-15 至 1997-04-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9309659&HistoricalAwards=false
关键词：
Research Initiation Award Robust Control

项目摘要

Models of chemical processing systems may be affected by varying degrees of error. In many substances reasonable bounds on the extent of the errors can be determined quantitatively. In particular, ellipsoidal confidence regions-- certainty models-- can be generated as a by product of efforts to model process plants. This project addresses the design of robust controllers capable of satisfying performance and stability specifications for a normal plant as well as for all plants belonging to a neighboring ellipsoidal uncertainty region. The objectives of this research are to (1) develop a comprehensive methodology for analyzing the robustness of systems with ellipsoidally uncertain plants, (2) produce tools for synthesizing robust controllers for such plants, and test and evaluate the resulting control strategies via simulation studies. The analysis of robustness will be carried out by extending the results of a frequency-domain technique which leads to a simple necessary and sufficient condition for robust stability. New synthesis methods are planned using generic control structures as well as specialized designs such as pole-placement. Computer simulation studies of chemical engineering systems will be used to critically evaluate the new control strategies using systems of relevance to the chemical processing industry.

化学处理系统的模型可能受到以下因素的影响：不同程度的错误。在许多物质中，可以确定误差范围的界限数量上。特别是，椭球置信度区域--确定性模型--可以作为副产品生成对加工厂进行建模的努力。该项目涉及鲁棒控制器的设计能够满足性能和稳定性规格为正常的植物，以及属于相邻椭球体的所有植物不确定区域本研究的目的是（1）开发一个分析的鲁棒性的综合方法具有椭球不确定对象的系统，（2）产生工具用于为这样的设备合成鲁棒控制器，并测试并通过仿真评估所得到的控制策略问题研究稳健性分析将通过以下方式进行：扩展了频域技术的结果，该频域技术导致一个简单的必要和充分条件，鲁棒稳定性新的合成方法计划使用通用控制结构以及专门的设计，作为极点配置。化学反应的计算机模拟研究工程系统将被用来批判性地评估新的控制战略，使用与环境相关的系统，化学加工业。