Average modeling of an alternating aerated activated sludge process for nitrogen removal

Márquez, Richard; Belandria-Carvajal, María Eugenia; Gomez-Quintero, Claudia; Rios-Bolivar, M.

doi:10.3182/20110828-6-it-1002.01738

Cited by 7 publications

(9 citation statements)

References 6 publications

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“…The earlier nonlinear models as the ASM1 are not very attractive due to the high complex schemes systems. So, we are interested on her reduced order models, based on some biochemical considerations, describing the non linear behavior of the process developed in [14]. We thus distinguish an aerobic phase and an anoxic phase, using state variables related to four substrate concentrations.…”

Section: A Process Descriptionmentioning

confidence: 99%

“…This approach does not need the output differentiation and it only assumes that the dynamics of these inputs are bounded without making any hypothesis on how these inputs vary. The presented algorithm is applied to a realistic model of an activated sludge (AS) waste-water treatment process (WWTP) defined in [14].…”

Section: Introductionmentioning

confidence: 99%

“…Earlier, a separated tanks configurations are considered but, in recent years, a single tank treatment is developed. Due to the complexity of his representation, a reduced AS model (RASM) is described in [14]. Indeed, a classical Luenberger observer is applied for the resulting continuous nonlinear models after linearization.…”

Section: Introductionmentioning

confidence: 99%

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Unknown inputs observer applied to an alternating activated sludge process

Manaa

M’Śahli

2013

21st Mediterranean Conference on Control and Automation

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This work deals with the design of an unknown inputs observer for MIMO nonlinear hybrid systems. It consists in a switching between different observer to a simultaneous estimate of the unavailable states and inputs. A nonlinear reduced model of an alternating activated sludge process, which is decomposed on an aerobic phase and an anoxic phase, is presented. They are the results of a nitrification and de-nitrification phases. The principal goal of the observer is directed to cure the problem of unavailable input of the influent ammonia concentration and non-measured states of every sub-model. Simulation results verify the effectiveness of the proposed hybrid observers.

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Section: A Process Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Unknown inputs observer applied to an alternating activated sludge process

Manaa

M’Śahli

2013

21st Mediterranean Conference on Control and Automation

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“…Due to the complexity of these models, various types of an activated sludge-plant reduced model have been put forward in the literature [5][6][7][8][9][10]. In [11] the authors presented one new model to alternate activated sludge models. In fact the mean continuous model would capture the switching dynamics governing behavior (i.e., aerobic-anaerobic phases), without any consideration of any switching behavior.…”

Section: Introductionmentioning

confidence: 99%

“…In the same framework a nonlinear observer which actually utilized both LMI and Lyapunov function was studied in [22]. In [11], the authors applied one classical Luenberger observer which was dedicated to continuous nonlinear models after linearization and it allows the estimation of nitrate and ammonia concentrations. Furthermore, to better developing the control strategies in presence of unknown inputs, several researches are devoted to such observation.…”

Section: Introductionmentioning

confidence: 99%

Unknown Inputs Nonlinear Observer for an Activated Sludge Process

Smida¹,

Ladhari²,

Said³

et al. 2018

Mathematical Problems in Engineering

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This paper deals with the jointly estimation problem of unknown inputs and nonmeasured states of one altering aerated activated sludge process (ASP). In order to provide accurate and economic concentration measures during aerobic and anoxic phases, a cascade high gain observer (HGO) approach is developed. Only two concentrations are available; the other process’s states are assumed unavailable. The observer converges asymptotically and it leads to a good estimation of the unavailable states which are the ammonia and substrate concentration, as well as a quite reconstruction of the unknown inputs, which are the influent ammonia and the influent substrate concentrations. To highlight the efficiency of the proposed HGO with this MIMO system’s dynamics, simulation results are validated with experimental data.

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