Integration of Process Design and Control

计划研究项目的总体目标是整合 过程设计和过程控制。 具体而言，发展 在设计阶段采用经济上可行的方法， 分析可控性/可操作性问题的过程。 的PI 计划着眼于三个方面：（1）过程结构对 过程可控性/可操作性，（2）瞬态相关性 工艺参数下的性能（可从稳态数据获得） 以及（3）使用组成测量来改进蒸馏 列控制。 化工厂可以被看作是由少量的 基本结构。 不论所涉单位的类型， 这种结构影响整个工艺性能。 一套定义性的 基本结构可能包括串并联、重组和 循环结构。 后者广泛用于化学 工业的经济原因，并可能产生巨大的影响， 系统的开环和闭环性能。 目标 这项研究的目的是确定回收处理的效果， 配置具有工艺可操作性/可控性， 将该效应与设计参数相关联。 两个例子是 用于说明由再循环结构引起的控制问题： 涉及蒸馏的蒸发器结构和再循环系统 塔、热交换器和工业反应器。 控制系统 性能将与关键设计变量相关，例如 生产量、滞留量、热集成和质量和/或 能源 PI开发了一种使用无量纲数的方法，称为 相对干扰增益（RDG），当与 计算的相对增益（RGA）可以用于评估 过程的瞬态行为的基础上的稳态信息。 在 RDG测量的本质是， 多回路系统产生有利或不利的相互作用， 考虑环路的瞬态性能。 最终，PI计划将相关参数与关键设计相关联 变量，并将RGA、RDG和测量的峰值特性整合到 专家系统。

The overall goal of the planned research projects is the integration of process design and process control. Specifically, the development of economically viable approaches to be used at the design stage of a process to analyze for controllability/operability problems. The PI plans to look at three areas: (1) the effect of process structure on process controllability/operability, (2) correlation of transient performance with process parameters (available from steady state data) and (3) the use of composition measurements to improve distillation column control. Chemical plants can be viewed as being built up from a small number of basic structures. Irrespective of the type of unit or units involved, this structure affects overall process performance. A defining set of basic structures might include series-parallel, recombining, and recycle structures. The latter are widely used in the chemical industry for economic reasons and can have a drastic effect on both the open loop and the closed loop performance of a system. The goal of this research is to determine the effect that recycle processing configurations have on process operability/controllability and to correlate this effect with design parameters. Two examples will be used to illustrate the control problem caused by recycle structures: evaporator configurations and recycle systems involving distillation towers, heat exchangers, and industrial reactors. Control system performance will be related to key design variables such as throughput, holdup, heat integration, and recycle ratio of mass and/or energy. The PI has developed a method using a dimensionless number called the relative disturbance gain (RDG) which when used in conjunction with the calculated relative gain (RGA) can be employed to assess a process' transient behavior based on steady state information. In essence what the RDG measures is whether the closure of other loops in a multiloop system produces favorable or unfavorable interaction in terms of transient performance of the loop under consideration. Ultimately the PI plans to relate correlating parameters to key design variables and to integrate RGA, RDG and measured peak properties into an expert system.