A Novel Sliding Mode Control Base on Synchronization Error for Parallel Robot

Article Preview

Abstract:

Relative to serial robot, parallel robot gets more and more attention of scholars because of its many advantages. However, there are some problems in the current research such as the chains’ coordination and coupling control, which has became one of the key problems in the motion control of parallel robot. To further enhance the motion control performances, a novel sliding mode control method base on synchronization error is proposed in this paper. The simulation and experiment results show that the designed control system has good tracking performance, small system error and strong robustness, which can satisfy the high-precision requirements of the parallel robot control.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 468-471)

Pages:

758-766

Citation:

Online since:

February 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] D. Sun, R. Lu, J.K. Mills and C. Wang. International Journal of Robotics Research. 2006, Page(s):1137-1147.

Google Scholar

[2] Yiwei Liu, Yangbin Chen, Minghe Jin, Li Jiang, Shaowei Fan and Hong Liu. ROBOT. 2010, Page(s):150 – 156(In Chinese).

Google Scholar

[3] Weiwei Cao and Shuang Cong. Plane 2-dof parallel robot control strategy and Performance study. University of Science And Technology of China. 2008, (06) (In Chinese).

Google Scholar

[4] M. Pu, Q.X. Wu and Ch.Sh. Jiang. Control Theory & Applications, 2011, Page(s):805-812.

Google Scholar

[5] S.D. Stan, V. Maties and R. Balan. Emerging Technologies and Factory Automation.2007, Page(s):780 – 783.

Google Scholar

[6] M. Konishi and J. Imai. Innovative Computing Information and Control. 2007, Page(s):109 -111.

Google Scholar

[7] Disheng Sun and Yan Wang. Robotic Control Technologies. Beijing: Chinese Machine Press. 1998, Page(s):81-104(In Chinese).

Google Scholar

[8] Thomas Herold, David Franck, Enno Lange and Kay Hameyer. IEEE International Electric Machines & Drives Conference.2011, Page(s):1363-1367.

Google Scholar

[9] Can Wang and Dong Sun. Intelligent Control and Automation. 2008WCICA, Page(s):467-472.

Google Scholar

[10] D. Zhao, S. Li, F. Gao and Q. Zhu. ITE Control Theory & Applications. 2009, Page(s):136–150.

Google Scholar

[11] O-Shin Kwon, Seung-Hoe Choe and Hoon Heo. Environment and Electrical Engineering. 2011IC, Page(s):1–4.

Google Scholar