Title of article :
Gyroscope Random Drift Modeling, using Neural Networks, Fuzzy Neural and Traditional Time- series Methods
Author/Authors :
Nikkhah, AA. k.n.toosi university of technology - Dept of Aerospace Eng, تهران, ايران , Khaloozadeh, H islamic azad university, ايران , Heydari, A.P. k.n.toosi university of technology - Dept of Electrical Eng, تهران, ايران , Heydari, P. Islamic Azad Univ., Roudehen Branch, ايران
Abstract :
In this paper statistical and time series models are used for determining the random drift of a dynamically Tuned Gyroscope (DTG). This drift is compensated with optimal predictive transfer function. Also nonlinear neural-network and fuzzy-neural models are investigated for prediction and compensation of the random drift. Finally the different models are compared together and their advantages are discussed
