Abstract
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.
Highlights
A WWTP is a complex plant typically used for the removal of organic matter, nitrogen, and phosphorus from the polluted water cleared from domestic, industrial, and agricultural activities
This work addressed the design and implementation of an emulator for a controlled bioprocess from a complex WWTP. This simulator was achieved as a software tool that can be integrated into a more complex DCS-SCADA system of the WWTP Făcăi, Romania
The activated sludge process dynamical model and a multivariable adaptive control system were integrated in this simulator
Summary
A WWTP is a complex plant typically used for the removal of organic matter, nitrogen, and phosphorus from the polluted water cleared from domestic, industrial, and agricultural activities. As. Matlab/Simulink is a software environment very useful for modelling, and for control design, there are several bioprocess simulators developed in this environment [11,12]. To design control algorithms in WWTPs, it is necessary to obtain useful information about the processes, using the available sensors as well as software tools These tools are related to several levels of the DCS, involving data acquisition solutions (level 0), primary control loops (level 1), as well as estimation (software sensors) and advanced control algorithms (level 2)—Figure 1. In this paper, which is an extended work based on [5,25], the design and implementation of a simulator, as a real-time application, for the ASP residing in the WWTP Făcăi, Romania is approached.
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