Modeliranje oscilatornog ponašanja traktorskih pneumatika veštačkim neuronskim mrežama

Stojić, Boris

Tractor tire vibration behavior modeling by using artificial neural networks

Abstract

U fazi razvoja traktora upotrebom računarski podržanih simulacija, neophodan je odgovarajući model pneumatika. U radu je korišćenjem neuronskih mreža razvijen originalni empirijski model geometrijskog niskopojasnog filtriranja kratkotalasnih neravnina podloge koje vrši pneumatik. Razvoj modela baziran je na sopstvenim eksperimentalnim istraživanjima posmatranog aspekta ponašanja pneumatika. Model je integrisan u globalni oscilatorni model sposoban da opiše osnovne aspekte dinamičkog ponašanja taktorskih pneumatika.

During tractor development phase in which computer aided simulations are used, it is necessary to use appropriate tire model. Original empirical model of tractor tire low-pass geometric filtering behavior on short-wavelength road unevenness was developed in this work by using neural networks. Model development is based on author's experimental investigations. Model is integrated into global vibration tire model able to describe basic aspects of tractor tire dynamic behavior.

Faculty:
University of Novi Sad, Faculty of Technical Science
Date:
26-09-2014

Keywords:

Traktorski pneumatici / Tractor tire / vibration excitation / short-wavelength unevenness / artificial neural networks / oscilatorna pobuda / kratkotalasne neravnine podloge / veštačke neuronske mreže

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