1. Application of model predictive control to the BSM1 benchmark of wastewater treatment process
- Author
-
Jean-Pierre Corriou, Wenhao Shen, Xiaoquan Chen, State Key Laboratory of Pulp and Paper Engineering, Southern University of Science and Technology [Shenzhen] (SUSTech), Laboratoire des Sciences du Génie Chimique (LSGC), and Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
0209 industrial biotechnology ,Engineering ,Model predictive control Wastewater treatment process BSM1 benchmark ,business.industry ,General Chemical Engineering ,Feed forward ,02 engineering and technology ,Energy consumption ,6. Clean water ,Computer Science Applications ,Model predictive control ,Nonlinear system ,020901 industrial engineering & automation ,020401 chemical engineering ,Control theory ,Benchmark (computing) ,[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering ,Penalty method ,Sewage treatment ,0204 chemical engineering ,business ,Effluent - Abstract
International audience; Wastewater treatment processes are difficult to be controlled because of their complex and nonlinear behavior. This paper applied model predictive control (MPC) to the Benchmark Simulation Model 1 (BSM1) wastewater treatment process to maintain the effluent quality within regulations-specified limits. Good performance was achieved under steady influent characteristics, especially concerning the nitrogen-related species. In presence of influent disturbances, two approaches have been studied: the addition of a feedforward action based on the measurement of the influent flow rate; the use of nonlinear model predictive controller by addition of a penalty function. The effects of two approaches were visible on the decrease of ammonium and nitrogen concentration which were considered as being of major importance. The results showthat MPC can be effectively used for control inwastewater treatment process. By comparing performances, the nonlinear model predictive control strategy with penalty function demonstrates best with small effluent quality index and acceptable aeration and pumping energy consumption.
- Published
- 2008