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A New Methodology for Adaptive pH Control

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New Trends in Systems Theory

Part of the book series: Progress in Systems and Control Theory ((PSCT,volume 7))

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Abstract

Good pH control requires knowledge of the nonlinear process gain, or titration curve. For applications such as waste stream neutralization, the titration curve changes quickly, making online titration curve estimation essential. The titration curve is a complex function of waste stream composition, and direct estimation of parameters for a waste stream model is difficult. This paper presents a technique for estimation of waste stream chemical composition that uses as parameters a basis set of preselected building block waste stream models. The parameter choice linearizes the estimation problem. An adaptive pH controller is described that uses the estimation technique to identify a waste stream model online. The model is used to construct the process titration curve to provide a gain schedule for a PI controller. Results of pilot plant testing of this controller are presented.

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References

  1. Choi, J.Y., and Rhinehart, R.R., “Process-Model Based Control of Wastewater pH Neutralization,“ Proceedings of the ISA/88 International Conference and Exhibit, Advances in Instrumentation. Houston, Texas, 1988.

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  2. Choi, J.Y., and Rhinehart, R.R., “Internal Adaptive Model Control of Wastewater pH,“ Proceedings of the 1987 American Control Conference. Minneapolis, Minn, 1987.

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  3. McMillan, G.K., pH Control. ISA, Independent Learning Module, 1984.

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  4. Moore, R.L., Neutralization of Waste Water by pH Control. ISA Monograph, ISA, 1978.

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  5. Shinskey, G., pH and plon Control in Process and Waste Streams. Wiley and Sons, NY, NY, 1973.

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© 1991 Springer Science+Business Media New York

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Gulaian, M., Lane, J., Scheib, T. (1991). A New Methodology for Adaptive pH Control. In: New Trends in Systems Theory. Progress in Systems and Control Theory, vol 7. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-0439-8_40

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  • DOI: https://doi.org/10.1007/978-1-4612-0439-8_40

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-1-4612-6760-7

  • Online ISBN: 978-1-4612-0439-8

  • eBook Packages: Springer Book Archive

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