Research for Rectangular Beam of Dual-E Elastic Body of Six-Axis Force Sensor Based on Limit Memory Extended Kalman Filter

Article Preview

Abstract:

The series approximation in the EKF algorithm can lead to low estimated accuracy and poor robustness. To this end, the paper proposes Limit Memory Extended Kalman Filter (LEKF) algorithm which is based on the nonlinear Limited Memory Filter (LMF).Next the paper develops the model of nonlinear state-measurement for rectangular beam of dual-E elastic body of six-axis force sensor by the relationship between strain and deflection. Moreover, The EKF algorithm which is combined with the LMF algorithm can only use the first N-1 measurements that are nearest the current time to compute the optimal estimation. Finally, the effect of old measurements can be reduced substantially. Comparing with the LMF and the EKF in terms of filtering effect by simulation experiments, it is shown that the LEKF algorithm provides higher estimated accuracy and better rubustness to eliminate the noise signal.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

382-387

Citation:

Online since:

August 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] M. Lee: Study on Signal Denoising and Static Decoupling for Large Range 6-axis Force/Torque Sensor(Yanshan University, China, 2011), pp.2-5.

Google Scholar

[2] J.L. Wang, W.D. Wang. X.Y. Gong, X.R. Que. H. Yang: 2nd International Conference on Cloud Computing and Intelligence Systems(Hangzhou, China, October 30, 2012), Vol. 7, pp.706-708.

Google Scholar

[3] Gerasimos G. Rigatos: Mathematics and Computers in Simulation. Vol. 81(2010), pp.509-607.

Google Scholar

[4] H.B. Chen, S.R. Ni: Piezoelectrics & Acoustooptics, Vol. 33(2011). pp.901-906.

Google Scholar

[5] Johan Bijker, Willem Steyn: Control Engineering Practice. Vol. 16(2008), pp.1508-1518.

Google Scholar

[6] G. Qin: Research on A New Kind of Robot Wrist Force Sensor (MS., Southeast University, China 2004), pp.5-14.

Google Scholar

[7] Limit Memory Kalman Filter with Control Term: http: /www. doc88. com/p-74962546150. html.

Google Scholar