信息与控制2018，Vol.47Issue(1)：5-15,11.DOI:10.13976/j.cnki.xk.2018.0005
网络信息模式下大范围工况运行系统的多模型协同预测控制
Multi-model Coordinated Predictive Control for Plant-wide Operation Systems under Networked Information Mode
摘要
Abstract
We propose a multi-model coordinated predictive control algorithm under networked information mode for plant-wide operation nonlinear systems. When a large-scale switching occurs, we have adopted the gap metric theory to divide the operation space of the nonlinear system into local subspaces under different operation con-ditions. In each subspace, we have applied a local linear model to design an infinite-horizon predictive con-troller. To transfer the problem of state variables in different subspaces, we have assessed the influence of the predicted state transitions in subintervals on the control performance. The optimization of N-step horizon con-trol law sequences ( instead of a single feedback control law) reduces the conservativeness caused by ignoring subspaces transition in multi-model predictive control. We have applied the algorithm to the continuous stirred tank reactor, which is widely used in chemical processes. Our simulation results show the effectiveness of the proposed algorithm.关键词
网络信息/协同预测控制/间隙度量/多工况系统/线性模型Key words
network information/coordinated predictive control/gap metric/multi-mode system/linearized model分类
信息技术与安全科学引用本文复制引用
亓晓雯,李少远,邹媛媛..网络信息模式下大范围工况运行系统的多模型协同预测控制[J].信息与控制,2018,47(1):5-15,11.基金项目
国家自然科学基金资助项目(61590924, 61773162, 61673273) （61590924, 61773162, 61673273）
