nach oben

Erschienen in:

2016 | OriginalPaper | Buchkapitel

Improving Process Management in a Water Treatment Plant Using Control Modelling

verfasst von : Cleber Gustavo Dias, Fábio Cosme Rodrigues dos Santos, André Felipe Henriques Librantz, Cristiano Morais de Sousa, Luiz Carlos da Silva

Erschienen in: Advances in Production Management Systems. Initiatives for a Sustainable World

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

This work presents a modelling and a simulation of a pH control for process management in a drinking water treatment plant. A range of historical data, or knowledge base, was used to define the behavior of each input and disturbances of the process, using the MATLAB/Simulink software. The present pH control modelling has been simulated and compared to some experimental tests, thus contributing to achieve and identify operational scenarios in a real water treatment plant. Therefore, the present results allows to predict not only the present scenarios but also new operational conditions, in order to estimate the better process parameters and reduce some costs related to raw materials, such as the lime consumption, in water treatment plants.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Agility Challenges in Finnish Manufacturing Companies – Manufacturing Operations Management Viewpoint

Nächstes Kapitel An Integrative Model of Productivity and Logistic Objectives

Hermansson, A.W., Syafiie, S.: Model predictive control of pH neutralization processes: a review. Control Eng. Practice 45, 98–109 (2015)CrossRef

Abdullah, N., Karsiti, M., Ibrahim, R.: A review of pH neutralization process control. In: 4th International Conference on Intelligent and Advanced Systems, vol. 2, pp. 594–598. IEEE (2012)

Barhoumi, A., Ladhari, T., M’sahli, F.: The extended Kalman filter for nonlinear system: application to system of waste water treatment. In: 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, pp. 445–450. IEEE (2014)

Romanenko, A., Santos, L.O., Afonso, P.A.: Unscented Kalman filtering of a simulated pH system. Industr. Eng. Chem. Res. 43(23), 7531–7538 (2004)CrossRef

Shobana, S., Panda, R.C.: Control of pH process using double-control scheme. Nonlinear Dyn. 67(3), 2267–2277 (2012)MathSciNetCrossRef

Mahmoodi, S., Poshtan, J., Jahed-Motlagh, M.R., Montazeri, A.: Nonlinear model predictive control of a pH neutralization process based on Wiener-Laguerre model. Chem. Eng. J. 146(3), 328–337 (2009)CrossRef

Gomez, J., Jutan, A., Baeyens, E.: Wiener model identification and predictive control of a pH neutralisation process. IEE Proc.-Control Theor. Appl. 151(3), 329–338 (2004)CrossRef

Hermansson, A.W., Syafiie, S.: Control of pH neutralization system using nonlinear model predictive control with I-controller. In: IEEE International Conference on Industrial Engineering and Engineering Management, pp. 853–857. IEEE (2014)

Xie, J., Wang, D., van Leeuwen, J., Zhao, Y., Xing, L., Chow, C.W.: pH modeling for maximum dissolved organic matter removal by enhanced coagulation. J. Environ. Sci. 24(2), 276–283 (2012)CrossRef

10.

Carrasco, J., Baños, A.: Reset control of an industrial in-line pH process. IEEE Trans. Control Syst. Technol. 20(4), 1100–1106 (2012)CrossRef

11.

Jacobs, O., Hewkin, P., While, C.: Online computer control of pH in an industrial process. In: IEE Proceedings D-Control Theory and Applications, vol. 127, pp. 161–168. IET (1980)

12.

Aparna, V.: Development of automated pH monitoring & control system through usb data acquisition. In: 6th IEEE Power India International Conference, pp. 1–6. IEEE (2014)

13.

Tan, W., Lu, F., Loh, A., Tan, K.C.: Modeling and control of a pilot pH plant using genetic algorithm. Eng. Appl. Artif. Intell. 18(4), 485–494 (2005)CrossRef

14.

Menzl, S., Stühler, M., Benz, R.: A self adaptive computer-based pH measurement and fuzzy-control system. Water Res. 30(4), 981–991 (1996)CrossRef

15.

Saji, K., Kumar, M.S.: Fuzzy sliding mode control for a pH process. In: IEEE International Conference on Communication Control and Computing Technologies, pp. 276–281. IEEE (2010)

16.

Sabharwal, J., Chen, J.: Intelligent pH control using fuzzy linear invariant clustering. In: Proceedings of the Twenty-Eighth Southeastern Symposium on System Theory, pp. 514–518. IEEE (1996)

17.

Mollov, S., Babuska, R., Abonyi, J., Verbruggen, H.B.: Effective optimization for fuzzy model predictive control. IEEE Trans. Fuzzy Syst. 12(5), 661–675 (2004)CrossRef

18.

Xu, C., Shin, Y.C.: A multilevel fuzzy control design for a class of multi-input single-output systems. IEEE Trans. Industri. Electron. 59(8), 3113–3123 (2012)CrossRef

19.

Loh, A., Looi, K., Fong, K.: Neural network modelling and control strategies for a pH process. J. Process Control 5(6), 355–362 (1995)CrossRef

20.

Böling, J.M., Seborg, D.E., Hespanha, J.P.: Multi-model adaptive control of a simulated pH neutralization process. Control Eng. Pract. 15(6), 663–672 (2007)CrossRef

21.

Navghare, S., Bodhe, G.: Design and implementation of real time neurofuzzy based pH controller. In: 2009 Second International Conference on Emerging Trends in Engineering & Technology, pp. 946–952. IEEE (2009)

22.

Plappally, A.K., Lienhard, J.H.: Costs for water supply, treatment, end-use and reclamation. Desalin. Water Treat. 51(1–3), 200–232 (2013)CrossRef

Titel: Improving Process Management in a Water Treatment Plant Using Control Modelling
verfasst von: Cleber Gustavo Dias
Fábio Cosme Rodrigues dos Santos
André Felipe Henriques Librantz
Cristiano Morais de Sousa
Luiz Carlos da Silva
Verlag: Springer International Publishing
Buch: Advances in Production Management Systems. Initiatives for a Sustainable World
Print ISBN: 978-3-319-51132-0

Electronic ISBN: 978-3-319-51133-7

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-51133-7_17

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner