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Comparative study on dynamic identification of parallel motion platform for a novel flight simulator

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3 Author(s)
Dongsu Wu ; College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China ; Hongbin Gu ; Peng Li

This paper investigates theoretical and experimental comparison of LS estimation and Bayesian type filters such as EKF, UKF, PF and GMSPPF (Gaussian Mixture Sigma Point Particle Filter) methods for dynamic identification of a 6-DOF parallel motion platform. Comparison results show that the UKF method and the GMSPPF method are most efficient and easy-to-use parameter identification approaches for highly nonlinear system.

Published in:

Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on

Date of Conference:

19-23 Dec. 2009