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A Pragmatic Approach for Selecting Weight Matrix Coefficients in Model Predictive Control Algorithm and Its Application
An, Aimin1; Hao, Xiaohong1; Zhao, Chao2; Su, Hongye2
2009
页码486-+
英文摘要Selecting appropriate coefficients often requires large expensive computation duty, manual designating the coefficients in weight matrix in model predictive control(MPC) algorithm often leads infeasible control results. In this paper, a pragmatic method used to efficiently select weight matrix coefficients in MPC objective function is proposed. The controllability and the observability Gramians of a stable controlled system are needed to calculate, the controllability and observability Gramians are singular value decomposed, and the controllability and observability Gramians singular value matrices are calculated. Then, Gramians singular values of the system are used as a benchmark to select the weight coefficients corresponding to different variable in the objective function of MPC. Meanwhile, a simple theoretical justification of the method based on a energy analysis is provided. The proposed methodology is validated and estimated by two different industrial application examples and the simulation results show a better agreement comparing to manual selection weight values method.
会议录2009 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS ( ICAL 2009), VOLS 1-3
会议录出版者IEEE
会议录出版地345 E 47TH ST, NEW YORK, NY 10017 USA
语种英语
资助项目National Basic Research Program of China[2007CB14000]
WOS研究方向Automation & Control Systems ; Engineering ; Operations Research & Management Science
WOS记录号WOS:000291503400092
内容类型会议论文
源URL[http://119.78.100.223/handle/2XXMBERH/37882]  
专题电气工程与信息工程学院
通讯作者An, Aimin
作者单位1.Lanzhou Univ Technol, Inst Elect Engn & Informat Engn, Lanzhou, Gansu, Peoples R China
2.Zhejiang Univ, Inst Cyber Syst & Control, Zhejiang, Peoples R China
推荐引用方式
GB/T 7714
An, Aimin,Hao, Xiaohong,Zhao, Chao,et al. A Pragmatic Approach for Selecting Weight Matrix Coefficients in Model Predictive Control Algorithm and Its Application[C]. 见:.
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