Reducing vibration of the seat with semi-active damper by using the artificial neural networks

This paper examines capabilities of Artificial Neural Network (ANN) regarding control of a heavy vehicle seat with semi-active damper. Matlab and its sub-application Simulink are used as a too] for developing simulation model of the driver seat in the heavy vehicles. The seat model with semi-active damper is built modularly by forming each of its components separately. Designed control model was tested in Matiab/Simulink, and then was verified on experimental setup, installed on the Department for Automatic Control of the Friedrich Alexander University in Erlangen - Nurnberg. After introductory remarks, this work considers description of the seat with semi active damper including mechanical characteristics and mathematical description of major components, theoretical remark about ANNs, control system description and implementation on experimental setup, using dSPACE module.