A feedback control framework for safe and economically‐optimal operation of nonlinear processes
A feedback control framework for safe and economically‐optimal operation of nonlinear processes
复制标题
用于非线性过程安全且经济优化运行的反馈控制框架
DOI：
10.1002/aic.15222
复制
发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
P. Christofides
中科院分区：
文献类型：
--
作者：
Fahad Albalawi;Anas Alanqar;Helen Durand;P. Christofides
保持化学过程的安全运行和满足环境约束是过程系统和控制工程领域中最重要的问题，并且在最大化经济利润的同时理想地实现。长期以来，人们一直认为，过程安全从根本上说是一个过程控制问题，但很少有研究工作已经针对整合过程安全和过程控制的相当不同的领域。经济模型预测控制（EMPC）由于其能够直接从过程经济性的角度优化过程操作，近年来引起了人们的广泛关注。然而，在EMPC中集成安全考虑以确保同时安全操作和过程利润最大化的问题上的工作非常有限。出于上述考虑，这项工作开发了三个EMPC计划，实时调整的安全集的大小，其中的过程状态应该驻留，以确保安全的过程操作和过程状态的反馈控制，同时通过时变过程操作优化经济。递归的可行性和闭环稳定性建立了一个足够小的EMPC采样周期。所提出的方案，有效地集成了反馈控制，过程的经济性，和安全性的考虑，证明了与化工过程的例子。© 2016美国化学工程师学会AIChE J，62：2391-2409，2016
Maintaining safe operation of chemical processes and meeting environmental constraints are issues of paramount importance in the area of process systems and control engineering, and are ideally achieved while maximizing economic profit. It has long been argued that process safety is fundamentally a process control problem, yet few research efforts have been directed toward integrating the rather disparate domains of process safety and process control. Economic model predictive control (EMPC) has attracted significant attention recently due to its ability to optimize process operation accounting directly for process economics considerations. However, there is very limited work on the problem of integrating safety considerations in EMPC to ensure simultaneous safe operation and maximization of process profit. Motivated by the above considerations, this work develops three EMPC schemes that adjust in real-time the size of the safety sets in which the process state should reside to ensure safe process operation and feedback control of the process state while optimizing economics via time-varying process operation. Recursive feasibility and closed-loop stability are established for a sufficiently small EMPC sampling period. The proposed schemes, which effectively integrate feedback control, process economics, and safety considerations, are demonstrated with a chemical process example. © 2016 American Institute of Chemical Engineers AIChE J, 62: 2391–2409, 2016