Memorias de investigación
Research Publications in journals:
Vehicle Suspension Identification Via Algorithmic Computation of State and Design Sensitivities
Year:2015

Research Areas
  • Engineering

Information
Abstract
It is common in mechanical simulation to not know the value of key system parameters. When the simulation is very sensitive to those design parameters and practical or budget limitations prevent the user from measuring the real values, parameter identification methods become essential. Kalman filter methods and optimization methods are the most widespread approaches for the identification of unknown parameters in multibody systems. A novel gradient-based optimization method, based on sensitivity analyses for the computation of machine-precision gradients, is presented in this paper. The direct differentiation approach, together with the algorithmic differentiation of derivative terms, is employed to compute state and design sensitivities. This results in an automated, generalpurpose and robust method for the identification of parameters. The method is applied to the identification of a real-life vehicle suspension system (namely of five stiffness coefficients) where both smooth and noisy reference responses are considered. The identified values are very close to the reference ones, and everything is carried out with limited user intervention and no manual computation of derivatives.
International
Si
JCR
Si
Title
Journal of Mechanical Design
ISBN
1050-0472
Impact factor JCR
1,247
Impact info
Datos JCR del año 2012
Volume
137
10.1115/1.4029027
Journal number
From page
021403
To page
021411
Month
SIN MES
Ranking
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Inv. en Seguridad e Impacto Medioambiental de Vehículos y Transportes (GIVET)
  • Centro o Instituto I+D+i: Instituto Universitario de Investigación del Automóvil (INSIA)
  • Departamento: Matemáticas del Área Industrial