摘要
针对工业系统中普遍存在的多变量时滞过程,提出了一种二自由度Smith预估控制的方法。通过在被控过程前串联反向解耦矩阵,实现标称系统的完全解耦。在此基础上,运用Dahlin控制算法和内模控制方法,对解耦后的过程分别设计了设定值跟随控制器和干扰抑制控制器,并基于最大灵敏度实现了干扰抑制控制器参数的鲁棒整定。仿真结果表明:该方法设计简单、整定方便,而且具有良好的跟踪特性、抗干扰特性和鲁棒性。
For the multivariable processes with time delay that commonly exist in industrial systems,the two degree of freedom Smith predictive control is proposed. The complete decoupling of nominal system can be achieved through connecting the reverse decoupling matrix prior to the controlled process. On this basis,by adopting Dahlin control algorithm and internal model control method,the set- point tracking controller and disturbance suppression controller are designed respectively for the decoupled process,and the robust tuning for the parameters of disturbance suppression controller is implemented based on maximum sensitivity. The results of simulation show that the proposed method is simple in design convenient in parameter tuning,and possesses excellent tracking performance,anti- disturbance capability,and robustness.
出处
《自动化仪表》
CAS
2016年第4期36-41,共6页
Process Automation Instrumentation
基金
山西省回国留学人员科研基金资助项目(编号:2013-092)
晋城市科技计划基金资助项目(编号:201501004-3)
关键词
多变量时滞过程
二自由度
SMITH预估控制
反向解耦
控制器
内模控制
最大灵敏度
参数整定
化工
Multivariable process with time-delay
Two degree of freedom
Smith predictive control
Inverted decoupling
Controller
Internal model control
Maximum sensitivity
Parameters tuning
Chemical industry