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Economic Control Structure Selection for Two-Layered Real-Time Optimization Systems
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2020-09-27 , DOI: 10.1021/acs.iecr.0c02591
Agustín Bottari 1 , David A. R. Zumoffen 1, 2 , Alejandro G. Marchetti 1, 3
Affiliation  

In industrial chemical plants, the selection of controlled variables, manipulated variables, and setpoint values directly impacts the economics of plant operation. The economic operation of a controlled plant can be improved using measurements to optimize the setpoint values and/or change the control structure online. These corrective actions are typically implemented by a supervisory setpoint control layer, such as a real-time optimization system. In a recent work, the authors studied the steady-state back-off approach for control structure selection that selects the optimal control structure and setpoint values by minimizing the average economic cost while guaranteeing feasibility in the presence of disturbances. In the present paper, we extend the aforementioned back-off approach by considering the presence of an upper real-time optimization layer. We present formulations for control structure selection that consider changes in the setpoint values as a function of measured (or estimated) disturbances and changes to the control structure when the set of active constraints changes. The usefulness of the proposed formulations is demonstrated in simulation on a linear example, an evaporator process, and a reaction-distillation plant with recycle.

中文翻译:

两层实时优化系统的经济控制结构选择

在工业化工厂中,控制变量,操纵变量和设定值的选择直接影响工厂运行的经济性。可以通过测量来优化设定值和/或在线更改控制结构来改善受控工厂的经济运行。这些纠正措施通常由监督设定点控制层(例如实时优化系统)实施。在最近的工作中,作者研究了用于控制结构选择的稳态退避方法,该方法通过最小化平均经济成本并在存在干扰的情况下保证可行性来选择最佳控制结构和设定值。在本文中,我们通过考虑高层实时优化层的存在来扩展上述退避方法。我们提出了用于控制结构选择的公式,这些公式考虑了设定点值的变化,这些值是所测得(或估计的)扰动的函数,以及当主动约束集发生变化时控制结构的变化。在一个线性实例,一个蒸发器过程以及一个带循环的反应蒸馏设备的仿真中证明了所提出配方的有用性。
更新日期:2020-09-27
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