Event-based control of basic wastewater treatment plant control loops

This paper addresses the problem of basic control loops in wastewater treatment plants. By basic control loops we are referring to the traditional dissolved oxygen and nitrates. They are the basic controls more sophisticated control solutions can be based upon. Therefore it is important that these loops perform in an efficient way. The problem is addressed here within the framework provided by the Benchmark Simulation Model Number 1 (BSM1) and by the use of an event-based solution. It will be verified that the solution can slightly improve the performance of the already exiting controllers both at loop level as well as at plant operation level.

[1]  N Hvala,et al.  The application of model predictive control of ammonia nitrogen in an activated sludge process. , 2011, Water science and technology : a journal of the International Association on Water Pollution Research.

[2]  Xianjun Du,et al.  Dissolved Oxygen Control in Activated Sludge Process Using a Neural Network-Based Adaptive PID Algorithm , 2018 .

[3]  Ramon Vilanova,et al.  Control en Estaciones Depuradoras de Aguas Residuales: Estado actual y perspectivas , 2017 .

[4]  Ramon Vilanova,et al.  Control y Operación de Estaciones Depuradoras de Aguas Residuales: Modelado y Simulación , 2017 .

[5]  Andrea G. Capodaglio,et al.  Online monitoring of priority and dangerous pollutants in natural and urban waters: A state-of-the-art review , 2016 .

[6]  F. G. Acién,et al.  Effective utilization of flue gases in raceway reactor with event-based pH control for microalgae culture. , 2014, Bioresource technology.

[7]  Bart De Moor,et al.  N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems , 1994, Autom..

[8]  R Vilanova,et al.  Control strategies for nitrous oxide emissions reduction on wastewater treatment plants operation. , 2017, Water research.

[9]  R. Vilanova.  An internal model control approach to event-based control , 2017, 2017 3rd International Conference on Event-Based Control, Communication and Signal Processing (EBCCSP).

[10]  Ulf Jeppsson,et al.  Benchmark Simulation Model no. 1 (BSM1) , 2008 .

[11]  Jinfeng Liu,et al.  Economic Model Predictive Control of Wastewater Treatment Processes , 2015 .

[12]  Francisco Rodríguez,et al.  Simulation of Greenhouse Climate Monitoring and Control with Wireless Sensor Network and Event-Based Control , 2009, Sensors.

[13]  P Ingildsen,et al.  Improved nutrient removal using in situ continuous on-line sensors with short response time. , 2003, Water science and technology : a journal of the International Association on Water Pollution Research.

[14]  Ramon Vilanova,et al.  Applying variable dissolved oxygen set point in a two level hierarchical control structure to a wastewater treatment process , 2015 .

[15]  A. Visioli,et al.  Characterization of symmetric send-on-delta PI controllers , 2012 .

[16]  Lu Zhang,et al.  Data-Based Predictive Control for Wastewater Treatment Process , 2018, IEEE Access.

[17]  M. Morari,et al.  Internal model control: PID controller design , 1986 .