A hybrid optimization method to improve driver's comfort

In this paper a hybrid optimization method consisting in conjunction an evolutionary algorithm and a classical optimization method has been presented. This hybrid method has been used to select the parameters of a driver's seat of a special vehicle, which contributes directly to increase in dri...

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Bibliographic Details
Published in2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA) pp. 73 - 78
Main Authors Warwas, Kornel, Tengler, Szymon
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2017
Subjects
active damping
Biological cells
computer simulations
Damping
driving comfort
Genetic algorithms
hybrid optimization method
Mathematical model
Optimization
vehicle dynamics
Vehicles
Virtual machine monitors
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Summary:In this paper a hybrid optimization method consisting in conjunction an evolutionary algorithm and a classical optimization method has been presented. This hybrid method has been used to select the parameters of a driver's seat of a special vehicle, which contributes directly to increase in driving comfort. A brief description of a vehicle mathematical model was formulated by using joint coordinates and homogenous transformations. Numerical simulations of optimization and dynamics have been performed over obstacles in a form of a speed bump. A subject of the investigations was to select such damping parameters to minimize amplitudes of driver's seat vibrations.
DOI:10.1109/INISTA.2017.8001135