化工过程的自优化控制:原理、发展与应用展望

Self-optimizing control for chemical processes:principle,developments and outlooks

自优化控制(SOC)是一种通过选择被控变量实现化工过程实时优化的控制系统设计方法,具有控制结构简单、优化效果好等优点,近年来得到了快速发展。详细阐述了SOC的基本工作原理及其在过程控制系统中的定位与作用,对其发展历程和研究现状进行了系统性的总结,主要包括:被控变量求解方法、变量筛选快速算法、可变约束集问题、间歇过程SOC方法和混合实时优化策略等内容。最后,全面回顾了现阶段SOC在化工过程中的应用案例,并从理论和实践角度对其未来发展方向进行展望。

Self-optimizing control(SOC)is a control system design method that achieves real-time optimization of chemical processes by selecting controlled variables.It has the advantages of simple control structure and good optimization effect,and has developed rapidly in recent years.This paper elaborates the fundamental principle of SOC and its role in the process control system.The historical developments and current research status of SOC are comprehensively surveyed,mainly including controlled variable solution methods,measurement screening algorithms,active-set change problems,SOC for batch processes,hybrid real-time optimization schemes,and so on.Finally,the applications of SOC to chemical processes are systematically reviewed,and outlooks on future developments of SOC are presented,from both theoretical and practical perspectives.