Integrated process design, scheduling, and control using multiparametric programming
Integrated process design, scheduling, and control using multiparametric programming
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DOI：
10.1016/j.compchemeng.2019.03.004
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发表时间：
2019-06-09
影响因子：
4.3
通讯作者：
Pistikopoulos, Efstratios N.
中科院分区：
文献类型：
--
作者：
Burnak, Baris;Diangelakis, Nikolaos A.;Pistikopoulos, Efstratios N.
提出了基于单一高保真模型的过程设计、控制和调度集成的统一理论和框架。该框架的特点是(I)具有设计、调度和控制考虑的混合整数动态优化(MIDO)公式，以及(Ii)用于导出最优滚动时间策略的离线/显式映射的多参数优化策略。显式模型预测控制作为设计和调度决策的函数被开发出来，类似地，考虑到闭环系统的动态，推导出与设计相关的调度策略。固有的多尺度差距问题通过离线设计依赖的代理模型来解决。该框架以两个实例问题--两个连续搅拌釜式反应器系统和一个小型热电联产(CHP)网络为例进行说明。(C)2019爱思唯尔有限公司。保留所有权利。
A unified theory and framework for the integration of process design, control, and scheduling based on a single high fidelity model is presented. The framework features (i) a mixed-integer dynamic optimization (MIDO) formulation with design, scheduling, and control considerations, and (ii) a multiparametric optimization strategy for the derivation of offline/explicit maps of optimal receding horizon policies. Explicit model predictive control schemes are developed as a function of design and scheduling decisions, and similarly design dependent scheduling policies are derived accounting for the closed-loop dynamics. Inherent multi-scale gap issues are addressed by an offline design dependent surrogate model. The proposed framwork is illustrated by two example problems, a system of two continuous stirred tank reactor, and a small residential combined heat and power (CHP) network. (C) 2019 Elsevier Ltd. All rights reserved.