The slip control of a tram-wheel test stand model with single neuron PID control method
Sborník z konferenceOtevřený přístuppeer-reviewedpublishedSoubory
Datum publikování
2018
Autoři
Zirek, Abdulkadir
Kayaalp, Bekir Tuna
Vedoucí práce
Oponent
Název časopisu
Název svazku
Vydavatel
University of Pardubice
Abstrakt
In this study, a single neuron PID (proportional, integral, and derivative) control algorithm is
proposed for longitudinal slip control of a tram-wheel test stand. Hebb learning algorithm
was employed for tuning the control parameters. The main advantages of the proposed
algorithm are adaptivity, self-organizing, and self-learning. The performance of the control
strategy is simulated using the mathematical model of the tram-wheel test stand that is
developed in MATLAB environment. The simulation results show that the proposed
algorithm has better closed-loop performance compared to traditional PID control method.
Rozsah stran
p. 268 - 275
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Projekt
Zdrojový dokument
Vydavatelská verze
Přístup k e-verzi
open access
Název akce
7th International scientific conference of the Faculty of transport engineering: Through efficient transport to sustainable mobility (September 6th - 7th 2018, Pardubice)
ISBN
978-80-7560-152-0
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Klíčová slova
adaptive, single neuron, slip, learning algorithm, control, adhesion, traction