Non-linear multivariable adaptive control of an activated sludge wastewater treatment process

Nejjari, Fatiha; Dahhou, B.; Benhammou, A.; Roux, G.

doi:10.1002/(sici)1099-1115(199908)13:5<347::aid-acs543>3.0.co;2-8

Cited by 91 publications

(55 citation statements)

References 8 publications

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“…This is also true from the automatic control perspective: for example in [14] a parameter and state non-linear estimator is used in an adaptive linearizing control of the dissolved oxygen and substrate concentration of an ASP but under the assumption that only the dissolved oxygen is available for measurement. In [15], several multivariable PI control method are applied to the ASP by linearizing the nonlinear model and the results are presented, as well as the combination of some of these methods.…”

confidence: 99%

“…Note in (14), that the input signals do not have a bar, denoting that these signals are not virtual, but actually are entering to the system. When comparing (12) and (14), one is able to find the ideal controllers that would, theoretically, drive the system to the desired dynamics (if the transfer functions of the plant were known):…”

Section: Vrft Approach To Feedforward Controlmentioning

confidence: 99%

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Data-driven Control of the Activated Sludge Process: IMC plus Feedforward Approach

Rojas

Arrieta

Meneses

et al. 2016

INT J COMPUT COMMUN

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Abstract:In the work presented in this paper, data-driven control is used to tune an Internal Model Control. Despite the fact that it may be contradictory to apply a model-free method to a model-based controller, this methodology has been successfully applied to a Activated Sludge Process (ASP) based wastewater treatment. In addition a feedforward controller over the influent substrate concentration was also computed using the virtual reference feedback tuning and applied to the same wastewater process to see the effect over the dissolved oxygen and the substrate concentration at the effluent.

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confidence: 99%

Section: Vrft Approach To Feedforward Controlmentioning

confidence: 99%

Data-driven Control of the Activated Sludge Process: IMC plus Feedforward Approach

Rojas

Arrieta

Meneses

et al. 2016

INT J COMPUT COMMUN

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“…The mathematical model considered in this paper has been proposed in [19]. The model is based on the following assumptions: 134 Sergiu Caraman, Mihaela Sbarciog, Marian Barbu…”

Section: The Model Of the Wastewater Treatment Processmentioning

confidence: 99%

“…precise linearizing or adaptive control, robust control techniques etc.) [19]. However, when using more complex models, such as the ASM1 model, the issue of automatic control became very complicated and the established results were less numerous.…”

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confidence: 99%

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Predictive Control of aWastewater Treatment Process

Caraman

Sbarciog

Barbu

2007

INT J COMPUT COMMUN

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The paper deals with the design of a predictive controller for a wastewater treatment process. In the considered process, the wastewater is treated in order to obtain an effluent having the substrate concentration within the standard limits established by law (below 20 mg/l). This goal is achieved by controlling the concentration of dissolved oxygen to a certain value. The predictive controller uses a neural network as internal model of the process and alters the dilution rate in order to fulfill the control objective. This control strategy offers various possibilities for the control law adjustment by means of the following parameters: the prediction horizon, the control horizon, the weights of the error and the command. The predictive control structure has been tested in three functioning regimes, considered essential due to the frequency of their occurrence in current practice.

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Robust decentralized proportional–integral controller design for an activated sludge process

Anchan

Rao

2020

Asia-Pacific J Chem Eng

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This paper presents the design of a decentralized proportional-integral (PI) controller for a wastewater treatment plant (WWTP). The aeration rate and the return recycle sludge rate are manipulated inputs to the WWTP process, while substrate and biomass concentration are considered as the output variables. The study is divided into two segments: A decentralized controller is designed based on the best pairing in the first segment, and in the second segment, a decoupler is developed to reduce the interactions. Decouplers are generally used to create independent loops in the multivariable control loops. Each decoupled subsystem is converted to first order plus time delay (FOPTD) model using a system identification toolbox to design independent diagonal controllers. The numerical simulations have been performed to evaluate the effectiveness of the presented methods. Furthermore, a robustness study has also been carried out by taking into account multiplicative input and output uncertainties, and it is found that the controller designed based on minimizing the integral of absolute error (IAE) criteria shows more robust.

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Non-linear multivariable adaptive control of an activated sludge wastewater treatment process

Cited by 91 publications

References 8 publications

Data-driven Control of the Activated Sludge Process: IMC plus Feedforward Approach

Data-driven Control of the Activated Sludge Process: IMC plus Feedforward Approach

Predictive Control of aWastewater Treatment Process

Robust decentralized proportional–integral controller design for an activated sludge process

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