Optimal Seat and Suspension Design for a Half-Car with Driver Model Using Genetic Algorithm - Intelligent Control and Automation

ICA > Vol.4 No.2, May 2013

Optimal Seat and Suspension Design for a Half-Car with Driver Model Using Genetic Algorithm ()

HTML

Download as PDF (Size: 416KB) PP. 199-205

DOI: 10.4236/ica.2013.42024 9,694 Downloads 14,779 Views Citations

Author(s)

Wael Abbas, Ashraf Emam, Saeed Badran, Mohamed Shebl, Ossama Abouelatta

Affiliation(s)

Automotive and Tractors Engineering Department, Faculty of Engineering (Mataria), Helwan University, Cairo, Egypt.
Electrical Engineering Department, Faculty of Engineering, Al-Baha University, Al-Baha, KSA.
Engineering Physics and Mathematics Department, Faculty of Engineering (Mataria), Helwan University, Cairo, Egypt.
Mechanical Design Department, Faculty of Engineering (Mataria), Helwan University, Cairo, Egypt.
Mechanical Engineering Department, Faculty of Engineering, Al-Baha University, Al-Baha, KSA ;Engineering and Mechanical Design Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.

ABSTRACT

This paper presents an optimal vehicle and seat suspension design for a half-car vehicle model to reduce human-body vibration (whole-body vibration). A genetic algorithm is applied to search for the optimal parameters of the seat and vehicle suspension. The desired objective is proposed as the minimization of a multi-objective function formed by the combination of seat suspension working space (seat suspension deflection), head acceleration, and seat mass acceleration to achieve the best comfort of the driver. With the aid of Matlab/Simulink software, a simulation model is achieved. In solving this problem, the genetic algorithms have consistently found near-optimal solutions within specified parameters ranges for several independent runs. For validation, the solution obtained by GA was compared to the ones of the passive suspensions through sinusoidal excitation of the seat suspension system for the currently used suspension systems.

KEYWORDS

Biodynamic Response; Genetic Algorithms; Multi-Objective Optimization; Mathematical Model

Share and Cite:

Abbas, W. , Emam, A. , Badran, S. , Shebl, M. and Abouelatta, O. (2013) Optimal Seat and Suspension Design for a Half-Car with Driver Model Using Genetic Algorithm. Intelligent Control and Automation, 4, 199-205. doi: 10.4236/ica.2013.42024.

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journals Menu

Home

About SCIRP

Service

Policies