摘要
提出了一种基于多模型的预测控制方法,用于解决典型非线性对象——污水生化处理过程中的控制问题.首先给出了基于局部模型的多模型建模方法,该方法从积累的大量系统输入输出数据中找出与系统当前模态相匹配的数据集合,利用局部多项式拟合方法建立系统的局部模型,再根据系统模态的变化建立系统的多个模型;将所得多模型与预测控制相结合,提出一种多模型预测控制方法,从而解决了一类结构未知、仅使用大批历史数据工业过程的控制问题.仿真试验说明了该方法的有效性.
The multi-model predictive control strategy is presented to solve the control problem of typical nonlinear systems, i.e., the wastewater treatment process. The way to develop the multimodel is based on the local models which were systematically developed via finding out the data set from numerous accumulated system input/output database to match the current modality and taking advantage of the fitting of polynominal. Then, the multiple model were developed according to the variation in system modality. Combining the multiple models thus developed with predictive control, the multi-model predictive control strategy is proposed, thus solving the control problem of a class of unknown-structure nonlinear systems just on the basis of numerous historical database. The simulation test illustrates the validity of this approach.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2009年第1期26-29,共4页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金资助项目(60874057)
辽宁省教育厅科技研究项目(2008563)
关键词
非线性系统
多模型
邻域
预测控制
污水处理过程
nonlinear system
multiple model
neighborhood
predictive control
wastewater treatment process
