Parameter identification of multibody systems based on second order sensitivity analysis

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.

► We develop a Levenberg–Marquardt trust region method for parameter identification. ► This method is based on second sensitivity analysis and has faster convergence rate. ► This method can be used for optimization problems of large scale multibody systems.