Comparation of controllers based on Fuzzy Logic and Artificial Neural Networks for reducing vibration of the driver's seat

This paper presents two approaches in isolation of vibrations of driver's seat . The first approach shows the ability of Fuzzy Logic Controller (FLC) to adjust the stiffness of the air spring, which is implemented between cabin floor and the seat together with damper in order to isolate the ver...

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Bibliographic Details
Main Authors: Avdagic, Zikrija, Besic, Ingmar, Buza, Emir, Omanovic, Samir
Format: Conference Proceeding
Language:English
Subjects:
Acceleration
air spring
Floors
fuzzy logic
Mathematical model
neural networks
semi-active damper
Shock absorbers
Springs
Valves
Vehicles
vibration isolation
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Summary:This paper presents two approaches in isolation of vibrations of driver's seat . The first approach shows the ability of Fuzzy Logic Controller (FLC) to adjust the stiffness of the air spring, which is implemented between cabin floor and the seat together with damper in order to isolate the vertical vibrations. The second approach is based on Artificial Neural Network Controller (ANNC) with purpose of improvement vibration isolation producing appropriate voltage for valve flow diameter control of semi-active damper. The quality of isolation is measured using standardized technique. The results of simulation in Matlab/Simulink, as well as the results of implemented controllers on a real experimental model are presented.
ISSN:1553-572X
DOI:10.1109/IECON.2013.6699671