Optimal design of a new nanopositioner using genetic algorithm

Yangmin Li; Qingsong Xu

doi:10.1109/NEMS.2006.334758

Optimal design of a new nanopositioner using genetic algorithm

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

2 Citations (Scopus)

Abstract

In this paper, a new parallel nanopositioner (PNP) employing a spatial compliant parallel manipulator has been proposed due to the excellent accuracy of parallel mechanisms and flexure hinges. The system is established by a proper selection of hardware and analyzed based upon the derived pseudo-rigid-body model. In view of the physical constraints imposed by both the piezoelectric actuators and flexure hinges, the PNP's reachable workspace is determined analytically, where a maximum cylinder defined as usable workspace can be inscribed. Moreover, the optimal design of the PNP with the consideration of the usable workspace size and global dexterity index simultaneously is carried out so as to make a compromise between the two separate performances by utilizing the efficient genetic algorithm. And the optimization results will be valuable in the design of a new nanopositioner.

Original language	English
Title of host publication	Proceedings of 1st IEEE International Conference on Nano Micro Engineered and Molecular Systems, 1st IEEE-NEMS
Pages	357-362
Number of pages	6
DOIs	https://doi.org/10.1109/NEMS.2006.334758
Publication status	Published - 1 Dec 2006
Externally published	Yes
Event	1st IEEE International Conference on Nano Micro Engineered and Molecular Systems, 1st IEEE-NEMS - Zhuhai, China Duration: 18 Jan 2006 → 21 Jan 2006

Conference

Conference	1st IEEE International Conference on Nano Micro Engineered and Molecular Systems, 1st IEEE-NEMS
Country/Territory	China
City	Zhuhai
Period	18/01/06 → 21/01/06

Keywords

Compliant mechanisms
Genetic algorithm
Nanopositioner
Optimal design
Parallel manipulators

ASJC Scopus subject areas

Biotechnology
Materials Science (miscellaneous)

More information

10.1109/NEMS.2006.334758

Cite this

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Li, Y & Xu, Q 2006, Optimal design of a new nanopositioner using genetic algorithm. in Proceedings of 1st IEEE International Conference on Nano Micro Engineered and Molecular Systems, 1st IEEE-NEMS., 4134970, pp. 357-362, 1st IEEE International Conference on Nano Micro Engineered and Molecular Systems, 1st IEEE-NEMS, Zhuhai, China, 18/01/06. https://doi.org/10.1109/NEMS.2006.334758

Optimal design of a new nanopositioner using genetic algorithm. / Li, Yangmin; Xu, Qingsong.
Proceedings of 1st IEEE International Conference on Nano Micro Engineered and Molecular Systems, 1st IEEE-NEMS. 2006. p. 357-362 4134970.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Optimal design of a new nanopositioner using genetic algorithm

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Keywords

ASJC Scopus subject areas

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