An Automatical Matching Method Applied in Kinematics Measurement for the Flapping Rotary Wing

Fang Chen; Jiang Hao Wu; Chao Zhou; Yan Lai Zhang

doi:10.4028/www.scientific.net/AMM.459.119

Paper Titles

Coefficient of Performance of Thermoelectric Cooling on Nanofluids
p.91

Prediction of the Theoretical Strain Limit for the Bulging of Sheet Metals by the Approximate Analytic Method
p.100

Solid Oxide Electrolysis Cell Systems — Variant Analysis of the Structures and Parameters
p.106

Using Shear Wave Velocity to Assess the Stiffness of Soil-Cement-Fly Ash
p.115

An Automatical Matching Method Applied in Kinematics Measurement for the Flapping Rotary Wing
p.119

Fault Diagnosis of VCM Type AF Actuator Module for Phone Camera by Vibration Analysis
p.125

Glycophorin a Expression in HEL-92 Cells Treated with Silica Gel Particles
p.130

Detection for Rail Route State Deformation Based on Trap-Down Inertial Technology
p.136

An Analysis of Algebraic Reasoning Test of the Life Situation of Multiple-Representation by Using Grey Relational to Assess
p.144

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 459An Automatical Matching Method Applied in...

An Automatical Matching Method Applied in Kinematics Measurement for the Flapping Rotary Wing

Abstract:

In this paper, a method to track marked points on the wings automatically to describe the wing kinematics in the coupled wing motion of flapping, pitching and rotating is introduced. The marked points on the surface of wings as tracking targets are determined, detected and matched by using digital image processing techniques. Three dimensions coordinates in marked points can be reconstructed by integrated 2D coordinates from multi-camera images and cameras calibration. By this method, it is shown in one flapping cycle, the trend of flapping angular speed various with time is approximate trapezoid function; the pitch angle changes rapidly; the rotation speed fast enhances 3.5 times as flapping frequency increase only 45%. It is possible aerodynamic effective can be improved remarkably.

You might also be interested in these eBooks

Applied Mechanics and Mechanical Engineering IV

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 459)

Pages:

119-124

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.459.119

Citation:

Cite this paper

Online since:

October 2013

Authors:

Fang Chen*, Jiang Hao Wu, Chao Zhou, Yan Lai Zhang

Keywords:

Flapping Rotary Wing, Image Matching, Marked Point, Reconstruction

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] S. Guo, D. Li, Z. Huang. A smart material aeroelastic flapping wing micro rotorcraft, in: International Forum on Aeroelasticity and Structural Dynamics 2009, Seattle, Washington, IFASD-2009-163.

Google Scholar

[2] Simon M Walker, Adrian L. R Thomas, Graham K Taylor. Photogrammetric reconstruction of high-resolution surface topographies and deformable wing kinematics of tethered locusts and free-flying hoverflies J. R. Soc. Interface 2009 6, 351-366.

DOI: 10.1098/rsif.2008.0245

Google Scholar

[3] Zhengyou Zhang, Microsoft Research, A flexible new technique for camera calibration. (1998).

Google Scholar

[4] Information on http: /robots. stanford. edu/cs223b04/JeanYvesCalib/index. html#ref.

Google Scholar

[5] John CANNY, A computational approach to edge detection. IEEE transactions on pattern analysis and machine intelligence, VOL. PAMI-8, NO. 6, November (1986).

DOI: 10.1109/tpami.1986.4767851

Google Scholar

[6] Hough, P. V. C.

Google Scholar

[1962] Methods and means for recognizing complex patterns U.S. Patent 3, 069, 654.

Google Scholar

[7] MacQueen J.B., 1967. Some methods for classification and analysis of multivariate observations. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Berkeley, CA, USA, vol. I, pp.281-297.

Google Scholar