The application of nonlinear model predictive control in ozone dosing process for drinking water treatment

Author

Wang, Dongsheng ; Zhou, Xingpeng

Author_Institution

Sch. of Autom., Southeast Univ., Nanjing, China

Volume

2

fYear

2011

fDate

11-13 March 2011

Firstpage

42

Lastpage

46

Abstract

In this paper, a approach of discrete-time nonlinear model predictive control based on a wiener model is presented. Laguerre models and piecewise linear approximations are used respectively as linear and nonlinear parts of a wiener model. This approach retains a good trade-off between computational complexity and its fitness. The presented control scheme is applied to the ozone dosing process for drinking water treatment in the Xiangcheng water plant of Suzhou city. The results of the practical operation show that the scheme presented has better performance in comparison with LMPC based on a Laguerre filter model.

Keywords

approximation theory; computational complexity; discrete time systems; nonlinear control systems; piecewise linear techniques; predictive control; water treatment; Laguerre filter model; Xiangcheng water plant; computational complexity; discrete time nonlinear model predictive control; drinking water treatment; ozone dosing process; piecewise linear approximations; wiener model; Autoregressive processes; Computational modeling; Data models; Mathematical model; Predictive control; Predictive models; Discrete-time; Laguerre filter model; MPC; Piecewise linear; Wiener model; ozone dosing process control;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Research and Development (ICCRD), 2011 3rd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-61284-839-6

Type

conf

DOI

10.1109/ICCRD.2011.5764080

Filename

5764080