Optimized Modal Research for a Manipulator using Bayesian based Model Updating after Montecarlo-based Sensitivity Analysis

Bin Li, Xi-fan Yao, Shi-yong Chen

2016

Abstract

A procedure to identify the dynamic behavior of a 6 degree of freedom (6-DOF) Manipulator based on modal data, has been developed in this paper. A finite element reference model with special emphasis on the modeling of the joints has been built. The most uncertain parameters of the models are updated by minimizing the discrepancies between the analytical and the experimental natural frequencies of the model. The updated models were tested using modal tests according to Monte-carlo based sensitivity analysis and Beyesian based model reduction.

References

  1. Kang, Z, Wang. Y, 1990, Sensitivity analysis method of the dynamic optimal design for mechanical systems. Journal of Vibration Engineering, China.
  2. Rulka, W, Pankiewicz. E, 2005, MF3S approach to generate equations of motions for simulations in vehicle dynamics,Multi-body System Dynamcis.
  3. Smiths. F, Roussillie O. 2001, Sensitivity analysis in the migration of radionuclides: differential Monte Carlo versus double randomization. Mathematics and Computersin Simulation.
  4. Wang. Q, Liu. G, Wen.L, 2003, Reliability of crane structure based on Monte Carlo and finite element method Journal of Wuhan University of Technology: Transportation Science&Engineering.
  5. Wei X., 2002,The finite element analysis software -ANSYS Comprehension and Practice, China Water-Power Press. BeiJing.
  6. Xiao. G, Li H, 2003, Monte Carlo method in systematic reliability Analysis, Science Press. Beijing, China.
  7. Yan. B, Wang. L, Hu. J, 2003, Flexible model of multiaxle vehicle ride comfort. Chinese Journal of Mechanical Engineering.
  8. Yu. J, Li. R, 2004,Application of Sobol' method to sensitivity analysis of a non-linear passive vibration isolators, Journal of Vibration Engineering, China.
  9. Zhang. L, Bong. G, Shen. H, 2008, Robustness analysis of planetary gear mechanism based on Monte Carlo method. Journal of Mechanical Transmission.
  10. Zhou. B, Dung. W, Tan. M, 1997,An analysis of additional fluctuation of crankshaft torque and speed by using Monte-Carlo simulation. Chinese Internal Combustion Engine Engineering .
Download


Paper Citation


in Harvard Style

Li B., Yao X. and Chen S. (2016). Optimized Modal Research for a Manipulator using Bayesian based Model Updating after Montecarlo-based Sensitivity Analysis . In ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME, ISBN 978-989-758-208-0, pages 257-262. DOI: 10.5220/0006448602570262


in Bibtex Style

@conference{isme16,
author={Bin Li and Xi-fan Yao and Shi-yong Chen},
title={Optimized Modal Research for a Manipulator using Bayesian based Model Updating after Montecarlo-based Sensitivity Analysis},
booktitle={ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME,},
year={2016},
pages={257-262},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006448602570262},
isbn={978-989-758-208-0},
}


in EndNote Style

TY - CONF
JO - ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME,
TI - Optimized Modal Research for a Manipulator using Bayesian based Model Updating after Montecarlo-based Sensitivity Analysis
SN - 978-989-758-208-0
AU - Li B.
AU - Yao X.
AU - Chen S.
PY - 2016
SP - 257
EP - 262
DO - 10.5220/0006448602570262