A New Switching Scheme for Multi-model Predictive Control Using Clustering Modeling

Author

Xie, Shenggang ; Zhou, Lifang ; Ma, Ailiang ; Zhou, Luwen

Author_Institution

Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou

Volume

3

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

484

Lastpage

488

Abstract

Multi-model predictive control (MMPC) is an effective method to solve the control problem of strong nonlinear system. The well known problems in multi-model control strategy are the poor transient response and the frequent switching between different models. In this paper, a new switching scheme based on fuzzy zone is proposed for multi-model predictive control using clustering modeling to improve the transient response and weaken the oscillatory of the plant output. The improved MMPC strategy is applied in pH neutralization process and the simulation results demonstrate its validity.

Keywords

nonlinear control systems; pH control; pattern clustering; predictive control; process control; time-varying systems; clustering modeling; frequent switching; fuzzy zone; multimodel predictive control; nonlinear system; pH neutralization process; switching scheme; transient response; Adaptive control; Error correction; Fuzzy systems; Industrial control; Least squares methods; Nonlinear control systems; Nonlinear systems; Predictive control; Predictive models; Transient response; Multi-model predictive control; clustering modeling; switching;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on

Conference_Location

Shandong

Print_ISBN

978-0-7695-3305-6

Type

conf

DOI

10.1109/FSKD.2008.335

Filename

4666292