Abstract
An identification procedure for multibody systems is presented to determine optimal values for unknown or estimated model parameters from experimental test data. Based on a non-linear least-square optimization procedure, the Levenberg-Marquardt trust region method is developed to estimate the unknown parameters, in which the second order sensitivity analysis with the hybrid method is applied to improve the convergence and stability. Finally, numerical examples of slider-crank mechanism validate the accuracy and efficiency of the method presented.
| Original language | English |
|---|---|
| Pages (from-to) | 1105-1110 |
| Number of pages | 6 |
| Journal | International Journal of Non-Linear Mechanics |
| Volume | 47 |
| Issue number | 10 |
| DOIs | |
| State | Published - Dec 2012 |
| Externally published | Yes |
Keywords
- Multibody systems
- Parameter identification
- Sensitivity analysis
- Trust region method
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