东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2009, Vol. 30 ›› Issue (1): 26-29.DOI: -

• 论著 • 上一篇    下一篇

非线性系统的多模型预测控制方法

曾静;薛定宇;袁德成;   

  1. 东北大学信息科学与工程学院;沈阳化工学院信息工程学院;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2009-01-15 发布日期:2013-06-22
  • 通讯作者: Zeng, J.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(60874057);;

Multi-model predictive control of nonlinear systems

Zeng, Jing (1); Xue, Ding-Yu (1); Yuan, De-Cheng (2)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; (2) College of Information Engineering, Shenyang Institute of Chemical Technology, Shenyang 110142, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2009-01-15 Published:2013-06-22
  • Contact: Zeng, J.
  • About author:-
  • Supported by:
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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.

关键词: 非线性系统, 多模型, 邻域, 预测控制, 污水处理过程

Abstract: 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 multi-model 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 polynomial. 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.

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