Assessing impact force localization by using Particle Swarm Optimization algorithm
EL-BAKARI ; KHAMLICHI ; JACQUELIN ; DKIOUAK
Type de document
ARTICLE A COMITE DE LECTURE REPERTORIE DANS BDI (ACL)
Langue
anglais
Auteur
EL-BAKARI ; KHAMLICHI ; JACQUELIN ; DKIOUAK
Résumé / Abstract
This paper focuses on the inverse problem regarding force localization in the case of non punctual impacts occurring on elastic beams. Following the identification approach proposed to solve this problem and which is based on the reciprocity theorem, the impact location characteristics were determined by using Particle Swarm Optimization algorithm. To eliminate numerical trouble due to the trivial solutions appearing in this formulation, the fitness function was customized by introducing a set of weighting coefficients. Four different formulations of the fitness function were considered and their performances with regards to the number of sensors used and their positions were analyzed. This enabled to select the best combination of weighting coefficients to be used in the context of an impact force localization process based on Particle Swarm Optimization technique. Three sensors were found to be required and comparison with Genetic Algorithm has revealed effectiveness of the proposed method in terms of accuracy and computational time.
Source
Journal of sound and vibration, num. 6, pp. 1554-1561 p.
Editeur
ACADEMIC PRESS
