DocumentCode
1908677
Title
Simulation Analysis on Characteristics of a Planar Capacitive Sensor for Large Scale Measurement
Author
Yu, Jianping ; Wang, Wen ; Li, Xinxin ; Zhu, Zhu ; Chen, Zichen
Author_Institution
Inst. of Adv. Manuf. Eng., Zhejiang Univ., Hangzhou, China
Volume
2
fYear
2009
fDate
10-11 Oct. 2009
Firstpage
201
Lastpage
204
Abstract
Measuring multi-dimensional linear displacements in large scale range with high precision is always focused on by researchers. This paper presents the results of simulation analysis on characteristics of a planar capacitive sensor (PCS), which is proposed for X and Y direction linear displacement measurement by measuring the periodic change of capacitance between two periodic plates, one fixed (i.e. fixed plate) and the other movable (i.e. movable plate). Since the capacitive electrode array on the fixed plate is periodically positioned, large scale measurement is realizable as long as the electrode array is large enough. The use of two geometrical orthogonal (90-degree out-of-phase) electrode arrays on the movable plate promises either axial displacement can be measured simultaneously without the coupling of another axial movement. The result of simulation proves 2-dimensional large scale measurement is feasible, meanwhile, different strategies are presented to fulfill structural optimization, including sensitivity optimization and linearity optimization.
Keywords
capacitive sensors; displacement measurement; finite element analysis; optimisation; 2-D finite element analysis; 2-dimensional large scale measurement; geometrical orthogonal electrode arrays; linear displacement measurement; linearity optimization; planar capacitive sensor; sensitivity optimization; structural optimization; Analytical models; Capacitance; Capacitive sensors; Displacement measurement; Electrodes; Large-scale systems; Lithography; Manufacturing automation; Personal communication networks; Sensor arrays; 2-D finite element analysis; 2-dimentional large scale measurement; planar capacitive sensor; structural optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location
Changsha, Hunan
Print_ISBN
978-0-7695-3804-4
Type
conf
DOI
10.1109/ICICTA.2009.286
Filename
5288163
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