Model Predictive Control of the Waste Water Treatment Plant Based on the Benchmark Simulation Model No.1-BSM1

Conference proceedings article

Authors / Editors

Agachi, Paul

Research Areas

No matching items found.

Publication Details

Author list: Cristea VM, Pop C, Agachi PS

Publisher: Elsevier: Monograph Series

Place: AMSTERDAM

Publication year: 2008

Journal: Computer Aided Chemical Engineering (1570-7946)

Journal acronym: COMPUT-AIDED CHEM EN

Volume number: 25

Start page: 441

End page: 446

Number of pages: 6

eISBN: 978-0-444-53227-5

ISSN: 1570-7946

Languages: English-Great Britain (EN-GB)

View in Web of Science | View citing articles in Web of Science

Abstract

Control of the WWTP is not a trivial task since the unit is nonlinear, features large time constants and delays, and interaction between variables is important. Model Predictive Control algorithm is a good candidate for such demanding task. The paper presents the results for controlling the WWTP using MPC. The Benchmark Simulation Model No. 1-BSM1 has been used as a standard for performance assessment and evaluation of the control strategy. Control of the Dissolved Oxygen in the aerated reactors and nitrate level in the anoxic compartments has been performed using the MPC control strategy. Air flow rate in the aerated reactors and internal recycle flow have been chosen as manipulated variables. The obtained results show the incentives of MPC over classical PI control with respect to overshoot and time response. A combined feedback-feedforward MPC scheme is also proposed for disturbance rejection and its incentives are shown.

Keywords

BSM1, MPC, WWTP

Documents