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2016 | OriginalPaper | Chapter

Improving Process Management in a Water Treatment Plant Using Control Modelling

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

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

Publisher: Springer International Publishing

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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.

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Literature
1.
go back to reference Hermansson, A.W., Syafiie, S.: Model predictive control of pH neutralization processes: a review. Control Eng. Practice 45, 98–109 (2015)CrossRef Hermansson, A.W., Syafiie, S.: Model predictive control of pH neutralization processes: a review. Control Eng. Practice 45, 98–109 (2015)CrossRef
2.
go back to reference 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) 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)
3.
go back to reference 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) 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)
4.
go back to reference 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 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
5.
go back to reference Shobana, S., Panda, R.C.: Control of pH process using double-control scheme. Nonlinear Dyn. 67(3), 2267–2277 (2012)MathSciNetCrossRef Shobana, S., Panda, R.C.: Control of pH process using double-control scheme. Nonlinear Dyn. 67(3), 2267–2277 (2012)MathSciNetCrossRef
6.
go back to reference 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 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
7.
go back to reference 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 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
8.
go back to reference 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) 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)
9.
go back to reference 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 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.
go back to reference Carrasco, J., Baños, A.: Reset control of an industrial in-line pH process. IEEE Trans. Control Syst. Technol. 20(4), 1100–1106 (2012)CrossRef 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.
go back to reference 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) 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.
go back to reference 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) 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.
go back to reference 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 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.
go back to reference 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 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.
go back to reference 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) 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.
go back to reference 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) 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.
go back to reference 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 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.
go back to reference 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 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.
go back to reference 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 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.
go back to reference 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 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.
go back to reference 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) 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.
go back to reference 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 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
Metadata
Title
Improving Process Management in a Water Treatment Plant Using Control Modelling
Authors
Cleber Gustavo Dias
Fábio Cosme Rodrigues dos Santos
André Felipe Henriques Librantz
Cristiano Morais de Sousa
Luiz Carlos da Silva
Copyright Year
2016
DOI
https://doi.org/10.1007/978-3-319-51133-7_17

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