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An improved class of angular rate-based coning algorithms is presented to promote coning correction performance. Through revising the previous coning correction form in the subsample series order, an improved coning correction form is constructed. Then the least squares method is introduced into the design of an improved coning algorithm (LSRI) based on the improved correction form. This improved...
A new angular rate-based coning algorithm is proposed to improve the coning correction accuracy of the previous angular rate-based coning algorithm in maneuver environment. To design the new algorithm, it is needed to give the relationship between the uncompressed and the compressed angular rate-based algorithm forms, and to derive the uncompressed coning algorithm error residual in the given angular...
In order to compensate the drift of fiber optic gyroscope (FOG) under intense ambient temperature variation, a novel ensemble modeling method named MS-ELM based on improved ensemble empirical mode decomposition (EEMD) and extreme learning machine (ELM) is addressed in this paper. Firstly, the thermal-induced error is analyzed analytically. Then, a bounded EEMD is used to extract the features of FOG...
Fiber optic gyroscope(FOG) is sensitive to the ambient temperature variation which affects seriously the precision and performance of inertial navigation system in deep space. In this paper, the least square-support vector machine (LS-SVM) as a novel learning machine based on statistical learning theory (SLT) is discussed and used to the FOG temperature drift modeling and compensation to reduce the...
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