信息与控制2017，Vol.46Issue(4)：394-399,6.DOI:10.13976/j.cnki.xk.2017.0394
一类工业运行过程最优数据采样解耦控制方法
Optimal Data Sampling Decoupling Control Method for a Class of Industrial Processes
摘要
Abstract
The dynamic model of the industrial operation process is composed of the dynamic model of the underlying device layer controlled object and the upper operating layer production process.We propose an optimal decoupling control method based on data sampling for a class of strong coupling industrial processes.The method transforms the control problem based on data sampling into the stability problem of time-varying delay system in the underlying device layer.On the basis of the Krasovskii-Lyapunov function, we present the parameters of the state feedback controller.The dynamic model of the industrial operation process is a hybrid model that includes continuous and discrete signals because of the sampling of the underlying device layer.Thus, in the upper operating layer, the hybrid model is first discretized.Then, for a discrete generalized model of operational processes, we design the optimal decoupling controller by combining the decoupling control and the optimal tracking control method.Finally, a numerical simulation experiment is performed to demonstrate the effectiveness of the proposed method.关键词
数据采样/线性矩阵不等式/离散化/最优解耦控制Key words
data sampling/linear matrix inequalities (LMIs)/discretization/optimal decoupling control分类
信息技术与安全科学引用本文复制引用
李婧怡,富月..一类工业运行过程最优数据采样解耦控制方法[J].信息与控制,2017,46(4):394-399,6.基金项目
国家自然科学基金资助项目(61573090) （61573090）
