Effluent turbidity control in direct filtration

Onat, Mustafa; Dogruel, M.

doi:10.1109/cca.2003.1223196

Cited by 4 publications

(1 citation statement)

References 12 publications

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“…Afterwards, in Japan and USA, and later, in Europe, the fuzzy logic control became more and more popular [19]. Until now, fuzzy controllers have been successfully used in the area of process industries [11][12][13][14][15][16][17]. This control method based on human's experience is achieved in FCs by expressing the control requirements and expounding the control signal in terms of the IF-THEN linguistic rules which belong to the set of rules:…”

Section: Plant Performance Criteriamentioning

confidence: 99%

PI and Fuzzy Control for P-removal in Wastewater Treatment Plant

Xu¹,

Vilanova²

2015

INT J COMPUT COMMUN

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Due to the complex and non linear character, wastewater treatment process is difficult to be controlled. The demand for removing the pollutant, especially for nitrogen (N) and phosphorus (P), as well as reducing the cost of wastewater treatment plant is an important research theme recently. Thus, in this paper, the benchmark proposed default control strategy and 10 additional control strategies are applied on the combined biological P and N removal Benchmark Simulation Model No.1 (BSM1-P). In addition, according to the results of applying PI controllers, as usual, we also chose the group with the better performance, as well as the default control strategy, to replace the PI controllers with fuzzy controllers. In this way, it can be seen that in all cases the quality of effluent of the controlled process could be improved in some degree; and the fuzzy controllers get a better phosphorus removal.

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