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
Link To Document :
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