Assessing impact force localization by using a particle swarm optimization algorithm

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.

Vibration control of a nonlinear beam with a nonlinear energy sink

“…Also, it makes few or no assumptions about the problem being optimized and can search very large domains of candidate solutions. Then, in recent decades many researchers have used PSO method to optimize different problems [36,37].…”

Applications of computational intelligence to mechanical engineering

“…8 shows that the three mostly adopted tools are Neural Networks [434]- [442], Evolutionary Computing [443], including genetic algorithms [444]- [451], and fuzzy logic [452]- [460], while less consideration has been received by Particle Swarm Optimization [461]- [465]. Related to Vibrations, Structural Health Monitoring has been performed by using NN [466]- [468], GAs [469]- [471], bio-inspired algorithms [472] and fuzzy logic [473].…”

Impact localization on a composite fuselage with a sparse network of accelerometers

“…Many other techniques have been proposed to localize an impact from vibration measurements. The linear inverse problem of impact force reconstruction can be solved by moving the candidate impact location [12][13][14]; the time reversal approach can be employed [15,16]; the maximum of the power signal distribution can be computed [17]; and various statistical methods have been developed [18][19][20].…”