A Real-time Updated Model Predictive Control Strategy for Batch Processes Based on State Estimation  

一种基于状态估计的间歇过程模型实时更新预测控制策略(英文)

作　　者：杨国军 李秀喜 钱宇 

机构地区：[1]School of Chemical Engineering, South China University of Technology

出　　处：《Chinese Journal of Chemical Engineering》2014年第3期318-329,共12页中国化学工程学报（英文版）

基　　金：Supported by the National Natural Science Foundation of China(21136003,21176089);the National Science&Technology Support Plan(2012BAK13B02);the National Major Basic Research Program(2014CB744306);the Natural Science Foundation Team Project of Guangdong Province(S2011030001366);the Fundamental Research Funds for Central Universities(2013ZP0010)

摘　　要：Nonlinear model predictive control(NMPC) is an appealing control technique for improving the performance of batch processes, but its implementation in industry is not always possible due to its heavy on-line computation. To facilitate the implementation of NMPC in batch processes, we propose a real-time updated model predictive control method based on state estimation. The method includes two strategies: a multiple model building strategy and a real-time model updated strategy. The multiple model building strategy is to produce a series of sim-plified models to reduce the on-line computational complexity of NMPC. The real-time model updated strategy is to update the simplified models to keep the accuracy of the models describing dynamic process behavior. The me-thod is validated with a typical batch reactor. Simulation studies show that the new method is efficient and robust with respect to model mismatch and changes in process parameters.Nonlinear model predictive control （NMPC） is an appealing control technique for improving the per- formance of batch processes, but its implementation in industry is not always possible due to its heavy on-line computation. To facilitate the implementation of NMPC in batch processes, we propose a real-time updated model predictive control method based on state estimation. The method includes two strategies： a multiple model building strategy and a real-time model updated strategy. The multiple model building strategy is to produce a series of sim- plified models to reduce the on-line computational complexity of NMPC. The real-time model updated strategy is to update the simplified models to keep the accuracy of the models describing dynamic process behavior. The method is validated with a typical batch reactor. Simulation studies show that the new method is efficient and robust with respect to model mismatch and changes in process parameters.

关 键 词：batch process exothermic batch reactor nonlinear model predictive control state estimation real-time model update 

分 类 号：TQ018[化学工程]