Nonlinear Adaptive Control Theory Applied for Chemical Process Control

性能和性能的显著改善 化学过程控制系统的可靠性可以 通过实施控制策略， 过程变量之间的相互作用。 的目标 这项研究是为了证明，稳定性和被动 算子理论（被动性在这个意义上是指 例如，在所有这些过程中， 质量守恒）可用于激励和发展 用于困难过程控制的非线性适应控制器 聚合物和非均相共沸等问题 蒸馏系统 PI计划调查和开发 一种非线性过程控制的替代方法， 这种方法是出于物理考虑， 利用了无源封闭的 系统. 这个属性是通用的，因为化学过程是 以能量和材料守恒关系为模型。 被动系统的实例包括放热反应器、热交换器。 交换器、蒸馏塔和活塞流反应器。 连续搅拌任务反应器（CSTR）、聚合反应器和 将使用非均相共沸蒸馏方法 以说明所提出的方法的适用性。 两 主题将被讨论。 一是如何用稳 理论选择一个可行的组合测量和 操纵变量 这个问题被称为 非线性结构问题。 第二个问题是 讨论了非线性系统的自适应控制器设计问题。 具有不确定和/或完全未知的过程 参数 这就是瞬态鲁棒性问题。 的 结果将用于定义前馈信号。 由于其 简单性和普遍性，这项研究也可能有一个 对过程控制的教学产生重大影响。

Significant improvements in the performance and the reliability of chemical process control systems can be achieved by implementing control strategies the compensate for the interaction between process variables. The objective of this research is to demonstrate that stability and passive operator theory (passivity in this sense refers to the preserving of a property--for example, in all such processes mass is conserved) can be used for motivate and develop nonlinear adaptive controllers for difficult process control problems like polymer and heterogeneous azeotropic distillation systems. The PI plans to investigate and develop an alternative approach to nonlinear process control, an approach that is motivated by physical considerations and exploits a passivity property of thermodynamically closed systems. This property is generic since chemical proceses are modelled by energy and material conservation relationships. Examples of passsive systems include exothermic reactors, heat exchangers, distillation columns and plug flow reactors. A continuous stirred task reactor (CSTR), a plymer reactor and a heterogeneous azeotropic distillation process will be used to illustrate the applicability of the proposed approach. Two topics will be addressed. The first is how to use stability theory to select a feasible combination of measured and manipulated variables. This problem is referred to as the nonlinear structure problem. The second problem to be addressed is the design of adaptive controllers for nonlinear processes that have uncertain and/or completely unknown parameters. This is the transient robustness problem. The result will be used to define feedfoward signals. Due to its simplicity and generality this research may also have a significant impact on the teaching of process control.