Wastewater neutralisation control using a neural network based model predictive controller

Author

Kuo, Lin-En ; Melsheimer, Stephen S.

Author_Institution

Dept. of Environ. Eng., Yuan-Pei Inst. of Med. Technol., Taiwan

Volume

6

fYear

1998

fDate

21-26 Jun 1998

Firstpage

3896

Abstract

The purpose of neutralization is to adjust the pH value to meet the requirements of the different processing units in the wastewater treatment system. However, there are many control problems in the industrial wastewater neutralization because of the nonlinearity of the titration curve, variable buffering, and changes in loading. In order to solve these problems, many authors have proposed different solutions. One of the alternative control schemes for the pH control of chemical process is the use of model predictive control (MPC). A neural network based MPC (NNMPC) is developed in this paper. In order to study the effectiveness of NNMPC, a simulation of wastewater neutralisation process was chosen as a test case

Keywords

neurocontrollers; pH control; predictive control; process control; water treatment; chemical process; model predictive control; neural network; neurocontrol; neutralization; pH control; process control; wastewater treatment system; Adaptive control; Biomedical engineering; Cities and towns; Feedforward neural networks; Fuzzy control; Neural networks; Predictive models; Recurrent neural networks; Time measurement; Wastewater treatment;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1998. Proceedings of the 1998

Conference_Location

Philadelphia, PA

ISSN

0743-1619

Print_ISBN

0-7803-4530-4

Type

conf

DOI

10.1109/ACC.1998.703386

Filename

703386