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Optimal Control with Prediction for the Process of Vacuum Membrane Distillation

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Advances in Artificial Systems for Logistics Engineering (ICAILE 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 135))

Abstract

One of the possible options for renewable energy is the use of bioethanol biofuels. To concentrate bioethanol, it is effective to use the process of vacuum membrane distillation. Membrane process is a relatively new and one of the most effective ways to separate multicomponent mixtures. Membrane distillation has many features compared to traditional separation methods, such as: low operating temperature of the process; the solution to be separated must not be heated to boiling point. A mathematical model of the process of vacuum membrane distillation is proposed and investigated. A control system has been developed using the method of analysis and synthesis of predictive control model (MPC) control systems based on mathematical optimization methods using predictive models. The method is chosen because the membrane changes its properties over time and can provide better control of the process over a long period of time. The systems of automatic control of a non-stationary dynamic object based on the MPC controller and the PID controller with fuzzy logic are compared.

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Authors and Affiliations

  1. National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, 03056, Ukraine

    Bogdan Korniyenko, Lesya Ladieva & Oleg Bereza

Authors
  1. Bogdan Korniyenko
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  2. Lesya Ladieva
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  3. Oleg Bereza
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Corresponding author

Correspondence to Bogdan Korniyenko .

Editor information

Editors and Affiliations

  1. School of Computer Science, Hubei University of Technology, Wuhan, China

    Zhengbing Hu

  2. College of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, China

    Qingying Zhang

  3. Mechanical Engineering Research Institute of the Russian Academy of Sciences, Moscow, Russia

    Sergey Petoukhov

  4. Halmos College of Arts and Sciences, Nova Southeastern University, Ft. Lauderdale, FL, USA

    Matthew He

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Korniyenko, B., Ladieva, L., Bereza, O. (2022). Optimal Control with Prediction for the Process of Vacuum Membrane Distillation. In: Hu, Z., Zhang, Q., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Logistics Engineering. ICAILE 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 135. Springer, Cham. https://doi.org/10.1007/978-3-031-04809-8_4

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