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Gyroscope Random Drift Modeling, using Neural Networks, Fuzzy Neural and Traditional Time- series Methods
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نویسنده
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Nikkhah AA. ,Khaloozadeh H ,Heydari A.P. ,Heydari P.
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منبع
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journal of aerospace science and technology - 2009 - دوره : 6 - شماره : 1 - صفحه:37 -44
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چکیده
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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
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آدرس
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k.n.toosi university of technology, Dept of Aerospace Eng , ایران, islamic azad university, ایران, k.n.toosi university of technology, Dept of Electrical Eng, ایران, Islamic Azad Univ., Roudehen Branch, ایران
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Authors
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