一种时滞系统的改进无模型自适应预测控制  

Improved Model-free Adaptive Predictive Control for Time-delay System

作　　者：王连杰 朱远明 钟伟民 WANG Lian-jie;ZHU Yuan-ming;ZHONG Wei-min(Key Laboratory of Advanced Control and Optimization for Chemical Processes of the Ministry of Education,East China University of Science and Technology,Shanghai 200237,China)

机构地区：[1]华东理工大学化工过程先进控制和优化技术教育部重点实验室,上海200237

出　　处：《控制工程》2021年第2期382-387,共6页Control Engineering of China

基　　金：国家重点研发计划项目(2016YFB0303403);国家自然科学基金青年项目(61503138);中国科协青年人才托举工程(2016QNRC001);中央高校基本科研业务费重点科研基地创新基金(22221817014)。

摘　　要：时滞现象广泛存在于工业过程系统中,常规控制器无法对难以获取精确模型的时滞系统进行有效控制。针对这类系统,结合跟踪-微分器获取微分信息的能力,利用Smith预估器预测未来时刻输出,提出了一种改进的无模型自适应预测控制(IMFAPC)方法,并对提出算法的收敛性和稳定性进行了分析。该算法不需要被控系统的模型信息,仅需要实时的I/O数据,是一种数据驱动控制方法。数值仿真和水泥分解炉出口温度控制的仿真表明,提出方法在时滞系统控制中具有较好的控制性能和更快的响应速度,从而验证了提出方法的有效性。Time-delay is widely found in industrial process systems,and traditional controllers are not competent to deal with time-delay systems as the difficulty of precise modeling.For this type of system,combined with tracking-differentiator for obtaining differential information,an improved model-free adaptive predictive control(IMFAPC)method is proposed by using Smith predictor to predict future output.The convergence and stability of the method are analyzed.This method is a data-driven control method which does not require the information of the controlled system,only requires real-time I/O data.Numerical simulation and simulation of the outlet temperature control of cement calciner show the excellent performance and faster response of proposed method,and its effectiveness is verified.

关 键 词：数据驱动 无模型自适应预测控制 时滞系统 跟踪-微分器 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]