Title :
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
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;
Conference_Titel :
Computer Research and Development (ICCRD), 2011 3rd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-839-6
DOI :
10.1109/ICCRD.2011.5764080
