{"title":"Identification and Dynamic Matrix Control algorithm for a heating process","authors":"Vo Lam Chuong, Truong Nguyen Luan Vu","doi":"10.1109/ICSSE.2017.8030954","DOIUrl":null,"url":null,"abstract":"In this paper, a novel identification method is proposed on the basis of Dynamic Matrix Control (DMC) algorithm. The high order model of the system is first identified using continuous process model with time delay. The lower order model is then systematically obtained by considering some well-known approximation techniques. The DMC algorithm is developed to get an optimal control sequence for the linear model with a quadratic cost function. The process disturbance is also investigated to evaluate the quality of the controller. The control algorithms are programmed in the Matlab/Simulink software adopting Real-Time Window Target and a PCI card to execute in the real system. As a result, the proposed controller affords significantly the improvement of overall performance in compared with the classical PID controller for both the set-point and disturbance rejection problems.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"34 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on System Science and Engineering (ICSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSE.2017.8030954","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, a novel identification method is proposed on the basis of Dynamic Matrix Control (DMC) algorithm. The high order model of the system is first identified using continuous process model with time delay. The lower order model is then systematically obtained by considering some well-known approximation techniques. The DMC algorithm is developed to get an optimal control sequence for the linear model with a quadratic cost function. The process disturbance is also investigated to evaluate the quality of the controller. The control algorithms are programmed in the Matlab/Simulink software adopting Real-Time Window Target and a PCI card to execute in the real system. As a result, the proposed controller affords significantly the improvement of overall performance in compared with the classical PID controller for both the set-point and disturbance rejection problems.
本文在动态矩阵控制(DMC)算法的基础上,提出了一种新的辨识方法。首先利用带时滞的连续过程模型确定了系统的高阶模型。然后利用一些著名的近似技术系统地得到了低阶模型。为了得到具有二次代价函数的线性模型的最优控制序列,提出了DMC算法。为了评价控制器的质量,还研究了过程扰动。控制算法在Matlab/Simulink软件中编程,采用real - time Window Target和PCI卡在实际系统中执行。结果表明,与经典PID控制器相比,该控制器在设定点和抗扰问题上的总体性能都有显著提高。