Networked Predictive Control for MIMO Process Control with Model Uncertainy Corrections
In this paper, a multi-variable Network Predictive Control (NPC) method which is able to actively compensate for the effects of the network uncertainties using model based predictions is introduced. The proposed method is design for MIMO systems which are widely used in large-scale industrial applications. In practical systems, the accurate mathematical models are very difficult get, which could negatively affect the NPC control performance. To address this problem, a prediction correction method is proposed. It uses the previous prediction errors to correct the future ones, which increases the accuracy of the prediction and eventually improves the control performance. To verify the effectiveness of the proposed methods, a simulation example is also given at the end of the paper.
Networked control systems model based control MIMO systems predictive control
HU Wenshan ZHOU Hong DENG Qijun WANG Fanrong
Department of Automation, Wuhan University, Wuhan 430072
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
5736-5741
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）