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- Title
2360. System identification of force transducers for dynamic measurements using particle swarm optimization.
- Authors
Jianshan Lu
- Abstract
A method of system identification for force transducers against the oscillation force is developed. In this method, force transducers are equipped with an additional top mass and excited by a facility with the sine mechanism. Particle swarm optimization (PSO) algorithm is employed to identify the parameters of the derived mathematical models. For improving the convergence speed of PSO, exponential transformation is introduced to the fitness function. Subsequently, numerical simulations and experiments are carried out, and consistent results demonstrate that the identification method proposed in this investigation is feasible and efficient for estimating the transfer functions from sinusoidal force calibration measurements.
- Subjects
SYSTEM identification; TRANSDUCERS; OSCILLATIONS; PARTICLE swarm optimization; MATHEMATICAL models
- Publication
Journal of Vibroengineering, 2017, Vol 19, Issue 2, p864
- ISSN
1392-8716
- Publication type
Article
- DOI
10.21595/jve.2017.17744