DocumentCode
3510234
Title
Application of the Neural Network Theory in Fully Decoupling of DTG
Author
Luo Yufeng ; Xu Chao ; Fan Yaozu
Author_Institution
Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing
fYear
2008
fDate
1-3 Nov. 2008
Firstpage
64
Lastpage
68
Abstract
The coupling of the output of dynamically tuned gyroscope (DTG) is very severe. In order to improve the precision of gyroscope, the decoupling design must be done. The traditional decoupling method has many restriction and can only designed in subsection. Especially the requirement of control decoupling and output decoupling canpsilat be fulfilled simultaneously. This dissertation analyzed the DTG coupled phenomena, decoupling the DTG with traditional method and try to resolve the problem with the theory of neural network, designed a neural network, and finally give decoupling simulation results.
Keywords
computerised instrumentation; gyroscopes; neural nets; control decoupling; decoupling design; decoupling simulation; dynamically tuned gyroscope; neural network theory; output decoupling; Analytical models; Angular velocity; Automation; Chaos; Gyroscopes; Intelligent networks; Intelligent systems; Neural networks; Testing; Velocity measurement; Coupling; DTG Dynamically Tuned Gyroscope; Decoupling; Neural network.;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3391-9
Electronic_ISBN
978-0-7695-3391-9
Type
conf
DOI
10.1109/ICINIS.2008.59
Filename
4683169
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