文章基本信息

标题：Offset Free Tracking Predictive Control Based on Dynamic PLS Framework
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作者：Jin Xin ; Wang Yue
期刊名称：Information
电子版ISSN：2078-2489
出版年度：2017
卷号：8
期号：4
页码：121
DOI：10.3390/info8040121
语种：English
出版社：MDPI Publishing
摘要：This paper develops an offset free tracking model predictive control based on a dynamic partial least square (PLS) framework. First, state space model is used as the inner model of PLS to describe the dynamic system, where subspace identification method is used to identify the inner model. Based on the obtained model, multiple independent model predictive control (MPC) controllers are designed. Due to the decoupling character of PLS, these controllers are running separately, which is suitable for distributed control framework. In addition, the increment of inner model output is considered in the cost function of MPC, which involves integral action in the controller. Hence, the offset free tracking performance is guaranteed. The results of an industry background simulation demonstrate the effectiveness of proposed method.
关键词：partial least square; model predictive control; offset free control; distributed controller partial least square ; model predictive control ; offset free control ; distributed controller