On-Line Estimation of the Ultrasonic Power in a Continuous Flow Sonochemical Reactor

Witold Ilewicz, Piotr Skupin, Dariusz Choiński, Wojciech Błotnicki and Zdzisław Bielecki
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Witold Ilewicz: Department of Measurements and Control, Silesian University of Technology, Akademicka 2A, 44-100 Gliwice, Poland
Piotr Skupin: Department of Automatic Control and Robotics, Silesian University of Technology, Akademicka 2A, 44-100 Gliwice, Poland
Dariusz Choiński: Department of Automatic Control and Robotics, Silesian University of Technology, Akademicka 2A, 44-100 Gliwice, Poland
Wojciech Błotnicki: Department of Measurements and Control, Silesian University of Technology, Akademicka 2A, 44-100 Gliwice, Poland
Zdzisław Bielecki: Department of Automatic Control and Robotics, Silesian University of Technology, Akademicka 2A, 44-100 Gliwice, Poland

Energies, 2020, vol. 13, issue 11, 1-10

Abstract: Sonochemical reactors can be very effective in many applications, including: degradation of chemical pollutants, inactivation of microorganisms, or production of biofuels. However, due to various factors, the ultrasonic power that is dissipated into sonicated liquid may vary in time. Hence, it is obvious that the ultrasonic power must be known for an optimal design and operation of the sonoreactor. In this paper, we present a method for on-line estimation of the ultrasonic power in continuous flow sonoreactors. In this method, we design an observer that estimates unknown model parameters by using a mathematical model of the sonoreactor and by measuring input and output temperatures in the sonoreactor system. The effectiveness of the method is shown for a simulated and real continuous flow sonoreactors. We also discuss the possibilities of ultrasonic power stabilization by using control algorithms.

Keywords: sonochemical reactor; on-line estimation of reactor parameters; ultrasonic power measurement; mathematical modeling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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