Data-driven Predictive Control for the Industrial Processes with Multiphase and Transition

摘要：

　　Processes with multiphase are commonly found in process industries.Process dynamics and correlations among variables tend to change with the transitions across such phases.In this paper,we propose a new data-driven predictive control strategy with the consideration of the important multiphase feature.The method aims to feature the multiphase data and use the data to design the controller.First,the data is divided and weighted based on the multiple phases and transitions.Through the minimal image representation,the data-driven prediction of future trajectory can be obtained and thus the computation of dynamic optimization.In the proposed controller,data Hankel matrices is direct incorporated in the predictive control laws,without a model or an intermediate step to meet the given performance specifications.Finally,the proposed predictive controller is demonstrated on a multiphase process.

关键词： Multiphase predictive control data-driven

作者: Hua Yang Shaoyuan Li

作者单位: College of Information Science and Engineering, Ocean University of China, Qingdao 266100 College of Information Science and Engineering, Ocean University of China, Qingdao 266100;Department

会议类型: 国际会议

会议名称: the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)

会议地点: 贵阳

会议语种:英文

页码: 749-753

在线出版日期: 2013-05-01（万方平台首次上网日期，不代表论文的发表时间）