Open AccessImproving ride comfort by optimizing the parameters of a quarter car model with a power law damper
Author(s) -
Vipul Paliwal,
Ritvik Dobriyal,
Pushpendra Kumar
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1116/1/012098
Subject(s) - damper , suspension (topology) , stiffness , control theory (sociology) , power (physics) , spring (device) , automotive engineering , engineering , computer science , structural engineering , mathematics , physics , control (management) , artificial intelligence , quantum mechanics , homotopy , pure mathematics
Suspension systems play a very important role in the vehicle performance as they are directly linked to improve and enhance the comfort of passengers. The working of a suspension arrangement depends strongly on the selection of suspension parameters like the spring stiffness and the damping coefficient. In this present study the parameters of a passive suspension with a power law damper are optimized for motion over a bump using genetic algorithm technique keeping passenger comfort in mind. It is seen that the best combination of suspension parameters results in selection of higher damping, lower spring stiffness and a lower value of power law index. It is also seen that the increase in the values of damping power index will result in the reduction of the suspension performance.