Dissolved oxygen control of the activated sludge wastewater treatment process using stable adaptive fuzzy control

Dória, Carlos Alberto; Araújo, Rui; Landeck, Jorge

doi:10.1016/j.compchemeng.2011.09.011

Cited by 120 publications

(34 citation statements)

References 17 publications

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“…En este caso se utiliza un filtro de Kalman extendido y un criterio de optimización basado en norma l 1 . En Belchior et al (2011) se muestra la reducción del error obtenido en el lazo de control básico de DO mediante un controlador adaptativo borroso (ADFC) en comparación con un controlador básico borroso y con un PI.…”

Section: Control Adaptativounclassified

Control en Estaciones Depuradoras de Aguas Residuales: Estado actual y perspectivas

Vilanova

Santín²,

Pedret³

2017

Revista Iberoamericana de Automática e Informática Industrial R

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ResumenEste trabajo constituye la segunda parte de una revisión de la problemática del control de estaciones depuradoras de aguas residuales (EDAR) para el tratamiento de agua residual urbana. Después de haber presentado en la primera parte las perspectivas correspondientes al modelado y simulación, en esta segunda parte nos centramos en el control de las mismas. Esta depuración se realiza, mayoritariamente, mediante procesos biológicos, concretamente, mediante el denominado proceso de fangos activados. El hecho de tratar con un proceso biológico conlleva una elevada complejidad tanto desde el punto de vista de modelado como, por supuesto, de control. Se revisa el control de EDAR desde su perspectiva histórica, como de los lazos de control más usuales, problemáticas que presentan y algunas de las soluciones propuestas. Se realiza también una revisión de la aplicación de las diferentes técnicas de control catalogándolas de acuerdo a su filosofía. Para terminar se ofrece una visión de las tendencia actuales y perspectivas de desarrollos futuros. Palabras Clave:Estaciones depuradoras de aguas residuales, benchmarking, control y operación

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Section: Control Adaptativounclassified

Control en Estaciones Depuradoras de Aguas Residuales: Estado actual y perspectivas

Vilanova

Santín²,

Pedret³

2017

Revista Iberoamericana de Automática e Informática Industrial R

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“…This coefficient causes nonstationarity of DO dynamics. Furthermore, K0 occurs in fraction + • so this parameter increases non-linearity of the equation (11 …”

Section: Adaptive Do Controller With Antiwindup Filtermentioning

confidence: 99%

“…predictive controller [3,4,5,6,7], multivariable PID controller [8,9], neural and fuzzy controllers [10,11]. Other DO control strategies using NH4, NO3 and PO4 measurements have been designed and tested, e.g.…”

Section: Introductionmentioning

confidence: 99%

A Model-Based Improved Control of Dissolved Oxygen Concentration in Sequencing Wastewater Batch Reactor

Blaszkiewicz¹,

Piotrowski²,

Duzinkiewicz³

2014

SIC

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Biochemical processes at wastewater treatment plant are complex, nonlinear, time varying and multivariable. Moreover, relationships between processes are very strong. One of the most important issues is exerting proper control over dissolved oxygen levels during nitrification phase. This parameter has a very large impact on activity of microorganisms in activated sludge and on quality of pollution removal processes. Oxygen is supplied by aeration system which consists of many nonlinear elements (blowers, pipes, diffusers). In this paper, the sequencing batch reactor is applied and modelled. Also, the aeration system is modelled. Those models are validated based on real data sets. The adaptive control system with anti-windup filter is proposed and designed for tracking the reference trajectory of dissolved oxygen. Furthermore, the reference trajectory of dissolved oxygen is generated by the supervisory controller using NH4 measurements. Simulation results of control system are calculated for a case study plant located in Swarzewo, Northern Poland.

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“…For ASP, a simple PID controller might prove to be insufficient in maintaining a desired setpoint, considering the changes in the ASP operating point. Several more robust and complex strategies have been designed to tackle this issue, such as adaptive [8], predictive [9] or fuzzy [10] control.…”

Section: Fig1 Simple Configuration For the Activated Sludge Processmentioning

confidence: 99%

Fractional Order Control for Aeration of Activated Sludge Wastewater Treatment Processes

Li¹,

Zhang²,

Wei³

et al. 2016

Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

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Abstract. In this paper, the design scheme of fractional order proportional integral (FOPI) controller for the second order plus time delay model of aeration of activated sludge wastewater treatment process are presented. It is found that the two controllers designed by the proposed tuning method not only make the system stable, but also improve the performance for the aeration control of activated sludge wastewater treatment processes. Simulation results are presented to validate the proposed tuning schemes. Furthermore, from the simulation results, it can be seen that the fractional order PI controller outperforms the integer order PID controller.

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Dissolved oxygen control of the activated sludge wastewater treatment process using stable adaptive fuzzy control

Cited by 120 publications

References 17 publications

Control en Estaciones Depuradoras de Aguas Residuales: Estado actual y perspectivas

Control en Estaciones Depuradoras de Aguas Residuales: Estado actual y perspectivas

A Model-Based Improved Control of Dissolved Oxygen Concentration in Sequencing Wastewater Batch Reactor

Fractional Order Control for Aeration of Activated Sludge Wastewater Treatment Processes

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