一种面向控制系统解耦的序列决策PID参数整定方法  

Sequence-decision PID parameter tuning approach towards control system decoupling

作　　者：高月[1] 宿翀[1] 李宏光[1] GAO Yue;SU Chong;LI Hongguang(College of Information Science & Technology, Beijing University of Chemical Technology, Beijing 100029, China)

机构地区：[1]北京化工大学信息科学与技术学院,北京100029

出　　处：《化工学报》2018年第3期1071-1080,共10页CIESC Journal

基　　金：北京市优秀人才培养项目(2015000020124G041);国家自然科学基金项目(61603023)~~

摘　　要：传统的解耦控制方法由于其过于依赖模型辨识等问题难以被实际应用,且存在成熟系统不宜进行控制器再设计等问题,此外,回路解耦控制的专家经验难以提取与传承。因此以等效传函理论为研究基础,提出了一种面向解耦问题的基于序列决策的PID参数整定方法,提取历史数据中经验丰富的操作人员的控制序列。在解决回路之间存在耦合而使控制效果不佳的问题的同时,使工程人员的PID参数整定经验数字化得以传承,辅助初级人员进行操作。最后将所提方法应用于Matlab和Aspen两个仿真平台的耦合回路系统,获得满意结果,并验证所提方法的有效性和正确性。Traditional decoupling control methods have difficulties in industrial applications as a result of heavilyrelying on model identification and in controller re-designing as a result of mature system.Besides,it is difficult toextract and inherit expert experience of loops’decoupling controls.Based on equivalent transfer function theory,sequence-decision PID parameter tuning method was developed,which control sequences of experienced operatorswere effectively extracted from historical data.When facing poor control performance due to loops’coupling,juniorstaff could operate from inheritance of digitalized PID parameter tuning experience of experienced engineers.Method effectiveness and accuracy were verified in two coupling circuit systems in Matlab and Aspen simulation platforms.

关 键 词：过程控制 参数估值 神经网络 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]