Suspension damping optimization using genetic algorithms

Home Page
About
Submit A Journal
Submit A Conference
Submit Paper/Book
- Submit a Preprint
- Submit a Book
Contact

International Journal of Automotive Engineering and Technologies
Volume:8 Issue:4
Suspension damping optimization using genetic algorithms

Suspension damping optimization using genetic algorithms

Authors : Ali HEMATİ, Alireza SHOOSHTARİ

Pages : 178-185

Doi:10.18245/ijaet.531810

View : 23 | Download : 7

Publication Date : 2019-12-10

Article Type : Research Paper

Abstract :Vehicle ride comfort is a function of the frequency of transmitting vibrations to passengers from road irregularities. The objective of this research is to provide a systematic method into the requirement of the passive suspension based on genetic algorithm insert ignore into journalissuearticles values(GA);. Objective function of GA method is driver’s seat acceleration to provide driver ride comfort. The passive suspension damping coefficient and driver’s seat suspension damping coefficient have been optimized. In this paper, a vehicle with eight degrees of freedom has been simulated to achieve driver’s seat comfort. Analytical results explained by mathematical equations presented in the graphical form have been included.
Keywords : Genetic Algorithm, Passive suspension, Full vehicle model, Ride comfort, Objective function

ORIGINAL ARTICLE URL

VIEW PAPER (PDF)

* There may have been changes in the journal, article,conference, book, preprint etc. informations. Therefore, it would be appropriate to follow the information on the official page of the source. The information here is shared for informational purposes. IAD is not responsible for incorrect or missing information.