Adaptive Control of a Waste Water Neutralization Process

Kurz, H.

doi:10.1016/s1474-6670(17)61479-4

Cited by 7 publications

(4 citation statements)

References 4 publications

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“…This is an adaptive controller which uses a reference model. It will be referred to as RMAC (reference model adaptive control) (Kurtz, 1985). The acronyms for the velocity set elements are NR for negative rapid, NM for negative medium, NL for negative low, L for velocity around zero, PL for positive low, PM for positive medium, and PR for positive rapid.…”

Section: Other Controllers Studiedmentioning

confidence: 99%

“…The difficulties have led to various alternatives being put forward to solve each one. Thus, many authors propose different solutions to the problem: predictive combined with traditional control algorithms (Riggs, 1990;Gaulian, 1990), modified PI controller (Costello, 1994), adaptive control (Kurtz, 1985), and predictiveadaptive control (Aragon, 1993;Pro ¨ll 1994).…”

Section: Introductionmentioning

confidence: 99%

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Wastewater Neutralization Control Based in Fuzzy Logic: Simulation Results

Garrido

Adroer

Poch

1997

Ind. Eng. Chem. Res.

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Neutralization is a technique widely used as a part of wastewater treatment processes. Due to the importance of this technique, extensive study has been devoted to its control. However, industrial wastewater neutralization control is a procedure with a lot of problemsnonlinearity of the titration curve, variable buffering, changes in loadingand despite the efforts devoted to this subject, the problem has not been totally solved. In this paper, the authors present the development of a controller based in fuzzy logic (FLC). In order to study its efectiveness, it has been compared, by simulation, with other advanced controllers (using identification techniques and adaptive control algorithms using reference models) when faced with various types of wastewater with different buffer capacity or when changes in the concentration of the acid present in the wastewater take place. Results obtained show that FLC could be considered as a powerful alternative for wastewater neutralization processes.

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Section: Other Controllers Studiedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wastewater Neutralization Control Based in Fuzzy Logic: Simulation Results

Garrido

Adroer

Poch

1997

Ind. Eng. Chem. Res.

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“…Finally, a numeric output is obtained (Kosko, 1992;Cox, 1994). Garrido et al (1997) compared the application of a fuzzy controller with the advanced controllers proposed by Riggs et al (1990), Gaulian et al (1990), and Kurtz (1985). Results obtained showed that FLC could be considered a valuable tool in the wastewater neutralization processes testing them in computer simulations.…”

Section: Introductionmentioning

confidence: 99%

“…Using this knowledge, the gain of a feedback controller was determined. Kurtz (1985) proposed an adaptive controller that uses a reference model of the variation in the control deviation.…”

Section: Introductionmentioning

confidence: 99%

Wastewater Neutralization Control Based on Fuzzy Logic: Experimental Results

Adroer

Alsina

Aumatell

et al. 1999

Ind. Eng. Chem. Res.

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Many industrial wastes contain acidic or alkaline materials that require neutralization of previous discharge into receiving waters or to chemical and biological treatment plants. The control of the wastewater neutralization process is subjected to several difficulties, such as the highly nonlinear titration curve (with special sensitivity around neutrality), the unknown water composition, the variable buffering capacity of the system, and the changes in input loading. To deal with these problems, this study proposes a fixed fuzzy logic controller (FLC) structure coupled with a tuning factor. The versatility and robustness of this controller has been proved when faced with solutions of variable buffering capacity, with acids that cover a wide pK range and with switches between acids throughout the course of a test. Laboratory experiments and simulation runs using the proposed controller were successful in a wide operational range.

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ADAPTIVE INPUT–OUTPUT LINEARIZATION OF A pH NEUTRALIZATION PROCESS

Henson

Seborg

1997

Adaptive Control & Signal

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SUMMARYAdaptive non-linear control strategies for a pH neutralization process are developed and evaluated via simulation. A non-adaptive non-linear controller is designed using a modified input-output linearization technique which accounts for the implicit output equation in the reaction invariant model. For simplicity the reaction invariants are assumed to be available for feedback. Because the model exhibits significant time-varying behaviour, the input-output linearizing controller is combined with non-linear parameter estimators which account for unmeasured buffering changes. Simulation results demonstrate that a novel indirect adaptive strategy is most suitable for experimental implementation where the reaction invariants must be estimated and sampling is required.

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Adaptive Control of a Waste Water Neutralization Process

Cited by 7 publications

References 4 publications

Wastewater Neutralization Control Based in Fuzzy Logic: Simulation Results

Wastewater Neutralization Control Based in Fuzzy Logic: Simulation Results

Wastewater Neutralization Control Based on Fuzzy Logic: Experimental Results

ADAPTIVE INPUT–OUTPUT LINEARIZATION OF A pH NEUTRALIZATION PROCESS

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