Abstract
AbstractIn view of the complicated nonlinear characteristic of fiber optic gyroscope (FOG) temperature drift, a new fuzzy approach is proposed to build the input-output model. Based on fuzzy logic theory, fuzzy regulation is formed according to the input and output information of FOG. Then the model of FOG is identified by corresponding fuzzy inference. The simulation result shows that the model presented is effective and the FOG temperature drift is reduced greatly. The identification method may provide a new approach to the temperature drift compensation of FOG on line.KeywordsFOGFuzzy RelationNonlinearity AnalysisMultivariable ModelModel IdentificationTemperature Compensation
Published Version
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