文献类型：期刊文献

英文题名：Multivariable generalized predictive control based on receding feedback correction in binary distillation process

作者：Li, Chaochun[1]; Lili, Tao[1]; Hui, Cheng[1]; Qi, Rongbin[1]; Feng, Qian[1]

机构：[1] Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China

年份：2012

起止页码：1098

外文期刊名：Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

收录：EI(收录号：20130415919184)

语种：英文

外文关键词：Distillation - Model predictive control - Predictive control systems - Feedback

摘要：An improved generalized predictive control (GPC) algorithm has been proposed in this paper. In order to cut off computation burden and get good performance of disturbance rejection, receding feedback correction mechanism is used to reject the disturbance instead of the traditional online identification mechanism. Furthermore, two factors are presented to tune for good dynamic performance. Simulation has been carried out with a binary distillation process model, named wood& berry model, which is a typical multivariable process. The simulation result proves the efficiency of proposed algorithm. ? 2012 IEEE.