U.S. - Argentina Cooperative Research: Studies on the Robust Control of Chemical Processes

该奖项支持化学过程的合作研究 控制将由大学的Ahmet Palazoglu进行 加州的戴维斯和何塞·拉马尼奥利的化学 阿根廷巴伊亚布兰卡的CONICET工程试验工厂。 这一合作努力的主要目标是发展 鲁棒过程控制的设计与分析方法 系统. 随着对产品质量要求的提高， 对工艺经济性和严格环境的限制 自动化控制已成为必然， 化学过程操作的整体部分。 然而，在这方面， 在各种操作制度下可靠，并要求 控制器响应这种变化而不损失 性能或稳定性特征。 的方法 通过这种合作开发的将在 各种应用。 联合S.调查人员已经 研究了一种高纯精馏塔模型， 通过各种方法证明不确定性特征 方法. 双效高纯气动力学模型 柱也已开发，其行为已被 在多回路PI控制下进行了测试。 的研究团队 阿根廷研究了奇异值和结构化 描述模型不确定性的奇异值概念 用于化学过程。 这两个小组在以下领域具有互补的专门知识： 线性和非线性过程的鲁棒控制。 证明 由一些出版物，两个线性过程。 一些出版物表明，这两个团体 调查了使用的各种表示的 模型/工厂不匹配，并达到设计和分析 方法. 加州大学戴维斯分校的小组强调使用磁- nitude/phase信息以及它的扩展， 结构化案例 在应用方面，加州大学戴维斯分校 小组开发了严格的高纯度动态模型 蒸馏系统，而阿根廷人则使用三重蒸馏系统， 高效蒸发器和固定床反应器，包括中试 植物研究。 鲁棒控制策略的发展 最终使两国的加工业受益 帮助他们更有信心地操作工艺装置， 在严格控制的情况下。

This award supports cooperative research in chemical process control to be conducted by Ahmet Palazoglu of the University of California at Davis and Jose Ramagnoli of the Chemical Engineering Pilot Plant of CONICET in Bahia Blanca, Argentina. The primary object of this collaborative effort is to develop design and analysis methods for robust process control systems. With increasing demands on product quality, contraints on process economics and stringent environmental regulations, automatic control has undeniably become and integral pat of chemical process operations. However, reliable under various operating regimes and demand that the controllers respond to such variations without loss of performance or stability characteristics. The methods developed through this collaboration will be tested on various applications. The U. S. investigators have already investigated a high purity distillation column model to demonstrate the uncertainty characterization by various methods. The dynamic model of double effect high purity column has also been developed and its behavior has been tested under multi-loop PI control. The research team in Argentina has studied the singular value and the structured singular value concepts in characterizing model uncertainty for chemical processes. These two groups have complementary expertise in the area of robust control of linear and nonlinear process. Demonstrated by a number of publications, the two linear process. Demonstrated by a number of publications, the two groups have investigated the use of various representations of the model/plant mismatch and arrived at design and analysis methods. The UC Davis group emphasizes the use of mag- nitude/phase information as well as its extensions to highly structured cases. In terms of applications, the UC Davis group developed rigorous dynamic models of high purity distillation systems while the Argentines work with triple effect evaporators and fixed-bed reactors, including pilot plant studies. Development of robust control strategies ultimately benefits processing industries in both countries by assisting them to operate process units with more confidence under tight control situations.