Study of Method of Denoising for Triaxial Flight Simulation Turntable Based on Generalized Minimum Variance

Yun Lin Luo; Hong Qiang Sun

doi:10.4028/www.scientific.net/AEF.2-3.156

Paper Titles

Simulation Analysis on Cymbal Transducer
p.140

Research on the Broadband Dual-Excited Underwater Acoustic Transducer
p.144

Experiments of Ultrasonic Sensing Using FBG Sensors
p.148

Research and Application of Machine Vision in Industry
p.153

Study of Method of Denoising for Triaxial Flight Simulation Turntable Based on Generalized Minimum Variance
p.156

Measurement of Natural Properties of a Beam Based on Machine Vision
p.162

Optical Properties of Ta₂O₅/SiO₂ Antireflection Coating System
p.167

An Intelligent Fire-Detection Method Based on Image Processing
p.172

Two De-Noising Methods Based on Gabor Transform
p.176

HomeAdvanced Engineering ForumAdvanced Engineering Forum Vols. 2-3Study of Method of Denoising for Triaxial Flight...

Study of Method of Denoising for Triaxial Flight Simulation Turntable Based on Generalized Minimum Variance

Abstract:

Aiming at dealing with the existing noise of triaxial flight simulation turntable, the paper design digital filter low-pass transmitters and generalized minimum variance control filter to process signal for random disturbance, and have test study based on outside box control system of triaxial flight simulation turntable. The test results show that we can get better control effect by adopting generalized minimum variance control rates to denoise for measured signal on triaxial flight simulation turntable, and that is much helpful to improve the noise control accuracy.

By email View Pdf

You have full access to the following eBook

Read eBook

Info:

Periodical:

Advanced Engineering Forum (Volumes 2-3)

Pages:

156-161

DOI:

https://doi.org/10.4028/www.scientific.net/AEF.2-3.156

Citation:

Cite this paper

Online since:

December 2011

Authors:

Yun Lin Luo, Hong Qiang Sun

Keywords:

Generalized Minimum Variance, Low-Pass Filter, PID, Triaxial Flight Simulation Turntable

Export:

RIS, BibTeX

Permissions:

Creative Commons CC BY 4.0

Citation:

References

[1] KROZEL J ANDRISAN I D. Intent inference and strategic path prediction[C]/AIAA Guidance, Navigation and Control Conference and Exhibit, 2005: 15-18.

DOI: 10.2514/6.2005-6450

Google Scholar

[2] Sciavicoo L, Siciliano B. Modeling and control of robot manipulators. London: Springer, 2000, 10-60.

Google Scholar

[3] Moody L. The history and future of flight control simulation. In: Proceedings of AIAA Modeling and Simulation Technologies Conference and Exhibit, Providence; AIAA, 2004. 5149-5159.

DOI: 10.2514/6.2004-5149

Google Scholar

[4] Martin J.N., Sinclair A.J., Cochran J.E., Nonlinear Tracking of Natural Mechanical Systems for HWIL Simulation, Guidance, Navigation, and Control Conference, AIAA, Hilton Head, SC, (2007).

DOI: 10.2514/6.2007-6463

Google Scholar

[5] MATLAB, Software Package, Ver. 7. 0, The MathWorks, Inc., Natick, MA, (2004).

Google Scholar

[6] Cook, M. V., Flight Dynamics Principles, Butterworth-Heinemann; 2 edition, 2007, p.149. M.

Google Scholar