Comparative Study on Dynamic Identification of Parallel Motion Platform for a Novel Flight Simulator

摘要：

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.

作者: Dongsu Wu Hongbin Gu Peng Li

作者单位: College of Civil Aviation,Nanjing University of Aeronautics and Astronautics,Nanjing,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

会议地点: 桂林

会议语种:英文

页码: 2232-2237

在线出版日期: 2009-12-19（万方平台首次上网日期，不代表论文的发表时间）