Eventos Anais de eventos
COBEM 2017
24th ABCM International Congress of Mechanical Engineering
Optimization of vertical and lateral vehicle's dynamic response to different road profile irregularities using a quantum particle swarm optimizer
Submission Author:
Herbert Gomes , RS
Co-Authors:
Herbert Gomes, Leandro dos Santos Coelho
Presenter: Herbert Gomes
doi://10.26678/ABCM.COBEM2017.COB17-0275
Abstract
The proposed work uses a metaheuristic approach related to swarm intelligence field to optimize suspension parameters of a bus vehicle in different road profiles situations. The dynamic model simulates the corresponding vertical and lateral dynamics in case of road irregularities and vehicle maneuvers during a double lane change (DLC) test. The optimization aims at minimizing the vertical and lateral acceleration at some passenger’s seat positions along the bus and the driver seat as well. The road track uses a Power Spectral Density approach to represent the pavement that is based on ISO (International Organization for Standardization) 8608 (1995) Gaussian process. The non-linear Newmark method is used to solve the set of coupled differential equations that arises from the vertical and lateral dynamics. A new proposed meta-heuristic algorithm for multi-objective optimization based on quantum particle swarm optimization (QPSO) is proposed in order to obtain the best suspension parameters for the multiple objectives imposed. The main findings of the paper are the found optimal values of the suspension parameters as well as the large attenuation of the vibration felt by the passengers and driver that depend on the magnitude of irregularities of the track in the test of double lane change.
Keywords
Quantum particle swarm optimization, Vehicle Dynamics, Multi-Objective Optimization
