文献类型：期刊文献

中文题名：针对多输入多输出系统的低计算负荷的快速模型预测控制算法（英文）

英文题名：A fast MPC algorithm for reducing computation burden of MIMO

作者：祁荣宾[1];梅华[1];陈超[1];钱锋[1]

机构：[1]E China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China

年份：2015

卷号：23

期号：12

起止页码：2087

中文期刊名：Chinese Journal of Chemical Engineering

外文期刊名：中国化学工程学报（英文版）

收录：CSTPCD;;EI(收录号：20155101695479);Scopus;WOS:【SCI-EXPANDED(收录号:WOS:000367537400020)】；CSCD:【CSCD2015_2016】；

基金：Supported by the National Natural Science Foundation of China (61333010, 61203157), the Fundamental Research Funds for the Central Universities, the National High-Tech Research and Development Program of China (2013AA040701), Shanghai Natural Science Foundation Project (15ZR1408900), and Shanghai Key Technologies R&D Program Project (13111103800).

语种：中文

中文关键词：预测控制算法;MIMO系统;负担;计算;大型复杂系统;快速算法;基于模型;QR算法

外文关键词：Fast MPC algorithm Computation burden One-bit operation Dimension reduction

摘要：The computation burden in the model-based predictive control algorithm is heavy when solving QR optimization with a limited sampling step, especially for a complicated system with large dimension. A fast algorithm is proposed in this paper to solve this problem, in which real-time values are modulated to bit streams to simplify the multiplication. In addition, manipulated variables in the prediction horizon are deduced to the current control horizon approximately by a recursive relation to decrease the dimension of QR optimization. The simulation results demonstrate the feasibility of this fast algorithm for MIMO systems.
The computation burden in the model-based predictive control algorithm is heavy when solving QR optimization with a limited sampling step, especially for a complicated system with large dimension. A fast algorithm is proposed in this paper to solve this problem, in which real-time values are modulated to bit streams to simplify the multiplication. In addition, manipulated variables in the prediction horizon are deduced to the current control horizon approximately by a recursive relation to decrease the dimension of QR optimization. The simulation results demonstrate the feasibility of this fast algorithm for MIMO systems.