Comparative Study on Dynamic Identification of Parallel Motion Platform for a Novel Flight Simulator
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.
Dongsu Wu Hongbin Gu Peng Li
College of Civil Aviation,Nanjing University of Aeronautics and Astronautics,Nanjing,China
国际会议
2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)
桂林
英文
2232-2237
2009-12-19(万方平台首次上网日期,不代表论文的发表时间)