Identification of fan dynamics in a spray booth using genetic algorithms | Zendy

P. Nikończuk | Zendy; S. Jaszczak | Zendy

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Identification of fan dynamics in a spray booth using genetic algorithms

Author(s) -

P. Nikończuk,

S. Jaszczak

Publication year - 2020

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2020.09.004

Subject(s) - computer science , algorithm , inertial frame of reference , dynamics (music) , automation , identification (biology) , genetic algorithm , object (grammar) , system identification , acoustics , artificial intelligence , mechanical engineering , data mining , physics , machine learning , botany , biology , quantum mechanics , engineering , measure (data warehouse)

An important element in the design of automation systems is the identification of the dynamics of the control object. There are many analytical methods for determining object dynamics models. This article presents the results of identifying the dynamics of a fan installed in a spray booth using genetic algorithms. A model of changes in the volume of air stream from the fan was created depending on the frequency of the current supplying the fan motor. The fan with ventilation channels is a system with non-linear and non-stationary dynamics. A linear model of such a system was adopted in the form of a second-order inertial element with coefficients depending on the frequency of the fan supply current. Calculations were carried out based on the results of measurements in a real object.

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