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A Software Emulator for the Modelling and Control of an Activated Sludge Process in a Wastewater Treatment Plant
| Content Provider | MDPI |
|---|---|
| Author | Dan, Selișteanu Constantin, Șulea-Iorgulescu Sorin, Mehedințeanu Popescu, Ion-Marian Roman, Monica |
| Copyright Year | 2021 |
| Description | The design and implementation of a simulator, as a real-time application, for a complex process from the biological treatment stage of a wastewater treatment plant (WWTP), is addressed. More precisely, this emulator was achieved as a software tool that can be later integrated into a more complex SCADA (supervisory control and data acquisition) system of the WWTP Făcăi, Romania. The basic idea is to implement and validate a reduced-order model of the activated sludge process (ASP), initially simulated in the Matlab/Simulink environment (The MathWorks, Inc., Natick, MA, USA). Moreover, an advanced multivariable adaptive control scheme of the ASP is addressed. This software tool can be made to work in parallel with the evolution of the process and can have as input signals measured directly at the process level, possibly following parametric or model adaptations. The software emulator is developed in the LabWindows/CVI programming environment (National Instruments), which offers low-level access to hardware or software systems that have minimal open-architecture facilities. This environment provides versatile drivers and software packages that can facilitate the interaction with software tools developed within some earlier SCADA systems. The structure and the graphical interface of the emulator, some functionalities, experiments, and evolution of main variables are presented. |
| Starting Page | 2054 |
| e-ISSN | 22279717 |
| DOI | 10.3390/pr9112054 |
| Journal | Processes |
| Issue Number | 11 |
| Volume Number | 9 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-11-16 |
| Access Restriction | Open |
| Subject Keyword | Processes Water Science and Technology Software Simulators Wastewater Treatment Plants Activated Sludge Process Bioprocess Control Adaptive Control Supervisory Control and Data Acquisition |
| Content Type | Text |
| Resource Type | Article |
