LAPSE:2023.28803
Published Article
LAPSE:2023.28803
Application of Genetic Algorithm Elements to Modelling of Rotation Processes in Motion Transmission Including a Long Shaft
Andriy Chaban, Marek Lis, Andrzej Szafraniec, Radoslaw Jedynak
April 12, 2023
Genetic algorithms are used to parameter identification of the model of oscillatory processes in complicated motion transmission of electric drives containing long elastic shafts as systems of distributed mechanical parameters. Shaft equations are generated on the basis of a modified Hamilton−Ostrogradski principle, which serves as the foundation to analyse the lumped parameter system and distributed parameter system. They serve to compute basic functions of analytical mechanics of velocity continuum and rotational angles of shaft elements. It is demonstrated that the application of the distributed parameter method to multi-mass rotational systems, that contain long elastic elements and complicated control systems, is not always possible. The genetic algorithm is applied to determine the coefficients of approximation the system of Rotational Transmission with Elastic Shaft by equivalent differential equations. The fitness function is determined as least-square error. The obtained results confirm that application of the genetic algorithms allow one to replace the use of a complicated distributed parameter model of mechanical system by a considerably simpler model, and to eliminate sophisticated calculation procedures and identification of boundary conditions for wave motion equations of long elastic elements.
Keywords
analytical mechanics, computer simulation, Genetic Algorithm, Hamilton–Ostrogradski principle, long shaft equations, mathematical modelling
Suggested Citation
Chaban A, Lis M, Szafraniec A, Jedynak R. Application of Genetic Algorithm Elements to Modelling of Rotation Processes in Motion Transmission Including a Long Shaft. (2023). LAPSE:2023.28803
Author Affiliations
Chaban A: Faculty of Transport, Electrical Engineering and Computer Science, Kazimierz Pulaski University of Technology and Humanities, Malczewskiego 29, 26-600 Radom, Poland
Lis M: Faculty of Electrical Engineering, Czestochowa University of Technology, Al. Armii Krajowej 17, 42-201 Czestochowa, Poland
Szafraniec A: Faculty of Transport, Electrical Engineering and Computer Science, Kazimierz Pulaski University of Technology and Humanities, Malczewskiego 29, 26-600 Radom, Poland [ORCID]
Jedynak R: Faculty of Transport, Electrical Engineering and Computer Science, Kazimierz Pulaski University of Technology and Humanities, Malczewskiego 29, 26-600 Radom, Poland
Journal Name
Energies
Volume
14
Issue
1
Article Number
E115
Year
2020
Publication Date
2020-12-28
Published Version
ISSN
1996-1073
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PII: en14010115, Publication Type: Journal Article
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doi:10.3390/en14010115
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