Application of the Neural Network Theory in Fully Decoupling of DTG

摘要：

The coupling of the output of Dynamically Tuned Gyroscope(DTG)is very severe.In order 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 can’t 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.

关键词： DTG(Dynamically Tuned Gyroscope) Coupling Decoupling Neural network

作者: Luo Yufeng Xu Chao Fan Yaozu

作者单位: School of Automation Science and Electrical Engineering,Beijing University of Aeronautics and Astronautics

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）