Performance Optimization for a 3-DOF Micro-Motion Device

Article Preview

Abstract:

Traditional parallel manipulators suffer from errors due to backlash, hysteresis, and vibration in the mechanical joints. In this paper, a new 3SPS+RPR spatial compliant mechanism which has three degrees of freedom (DOF) and can generate motions in a microscopic scale is proposed. It can be utilized for biomedical engineering and fiber optics industry. The detailed design of the structure is introduced, followed by the performance evaluation. Then, the genetic algorithms and radial basis function networks are implemented to search for the optimal architecture and behavior parameters in terms of global stiffness/compliance, dexterity and manipulability.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 291-294)

Pages:

3108-3111

Citation:

Online since:

July 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Y. M. Moon, "Bio-mimetic design of finger mechanism with contact aided compliant mechanism," Mech. Mach. Theory, vol. 42, pp.600-611, 2007.

DOI: 10.1016/j.mechmachtheory.2006.04.014

Google Scholar

[2] W. Dong, L. N. Sun and Z. J. Du, "Design of a precision compliant parallel positioner driven by dual piezoelectric actuators," Sens. Actuator A-Phys, vol. 135, pp.250-256, 2007.

DOI: 10.1016/j.sna.2006.07.011

Google Scholar

[3] J. Holland. Adaptation in natural and artificial systems. The University of Michigan Press, (1975)

Google Scholar

[4] D. Zhang, "Kinetostatics analysis and optimization of parallel and hybrid architectures for machine tools," Doctoral dissertation, Laval University, April 2000.

Google Scholar

[5] A. Golbabai and S. Seifollahi, "Radial basis function networks in the numerical solution of linear integro-differential equations," Appl. Math. Comput, vol. 188, pp.427-432, 2007.

DOI: 10.1016/j.amc.2006.10.004

Google Scholar

[6] S. Takasaki and Y. Kawamura, "Using radial basis function networks and significance testing to select effective siRNA sequences," Comput. Stat. Data Anal, vol.51, pp.6476-6487, 2007.

DOI: 10.1016/j.csda.2007.02.027

Google Scholar