Distributed Control Systems for a Wastewater Treatment Plant: Architectures and Advanced Control Solutions

Selişteanu, Dan; Popescu, Ion Marian; Petre, Emil; Roman, Monica; Şendrescu, Dorin; Popa, Bogdan

doi:10.5772/intechopen.74827

Cited by 6 publications

(2 citation statements)

References 15 publications

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“…There are two phenomena that work together to prevent sliding mode control from being widely used: chattering and a lot of active regulation. These two problems can be fixed at once by reducing the magnitude to the minimum value permitted by the parameters governing the sliding mode's existence [17]. Combining the static time analysis (STA) with terminal SMC, the continuous terminal SMC was suggested for uncertain systems of relative degree two.…”

Section: Wastewater Treatmentmentioning

confidence: 99%

Optimized robust fuzzy sliding mode control for efficient wastewater treatment: a comprehensive study

Kumara,

Ganesan

2024

IJ-AI

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Wastewater treatment plants (WWTPs) are plagued by nonlinearities, uncertainties, and disturbances that degrade control performance and may even lead to severe instability. The WWTP control issue has received a lot of research and development during the last several decades. One well-known way of designing a resilient control system is called sliding mode control (SMC). The SMC's greatest strength lies in its innate resistance to disturbances and uncertainty. Incorporating fuzzy SMC would eliminate the chattering effect, the primary drawback of traditional sliding-mode controller, without sacrificing robustness against parametric uncertainties, modeling errors, and variable dynamic loads. This article discusses the hybridization of fuzzy logic with sliding mode control to provide highly excellent stability and accuracy in a control system. As a means of optimizing the fuzzy SMC, the gradient-free optimization technique known as the Jaya algorithm is investigated. By repeatedly altering a population of individual solutions, this population-based method can deal with both limited and unbounded optimization issues.

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Section: Wastewater Treatmentmentioning

confidence: 99%

Optimized robust fuzzy sliding mode control for efficient wastewater treatment: a comprehensive study

Kumara,

Ganesan

2024

IJ-AI

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“…To be able to design and implement the control algorithm, it is necessary to obtain useful ASP mathematical models [17,28,29]. The most known ASP models are the ASMs (activated sludge models): ASM1, ASM2, ASM2d, and ASM3 [10].…”

Section: Structure Of the Wwtp Făcăi And Activated Sludge Process Modelmentioning

confidence: 99%

A Software Emulator for the Modelling and Control of an Activated Sludge Process in a Wastewater Treatment Plant

et al. 2021

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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.

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Mathematical Modelling and Control for an Activated Sludge Process in a Wastewater Treatment Plant

Petre

Selişteanu

Constantin

et al. 2019

2019 20th International Carpathian Control Conference (ICCC)

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Distributed Control Systems for a Wastewater Treatment Plant: Architectures and Advanced Control Solutions

Cited by 6 publications

References 15 publications

Optimized robust fuzzy sliding mode control for efficient wastewater treatment: a comprehensive study

Optimized robust fuzzy sliding mode control for efficient wastewater treatment: a comprehensive study

A Software Emulator for the Modelling and Control of an Activated Sludge Process in a Wastewater Treatment Plant

Mathematical Modelling and Control for an Activated Sludge Process in a Wastewater Treatment Plant

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