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• W4293172912 abstract "AbstractOne 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.KeywordsOptimal controlBioethanol productionVacuum membrane distillationMathematical modelForecasting" @default.
• W4293172912 created "2022-08-27" @default.
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• W4293172912 date "2022-01-01" @default.
• W4293172912 modified "2023-10-01" @default.
• W4293172912 title "Optimal Control with Prediction for the Process of Vacuum Membrane Distillation" @default.
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• W4293172912 doi "https://doi.org/10.1007/978-3-031-04809-8_4" @default.
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