THE NOISES INFLUENCE ESTIMATION OF INERTIAL SENSORS ON THE ACCURACY OF THE GYROSCOPIC PLATFORM EXHIBITION

This article discusses the features of solving the problem of an autonomous initial exhibition of a platform inertial navigation system under the influence of noise from inertial sensors (gyroscopes and accelerometers). The well-known classical algorithm of the initial exhibition, including the stages of rough exhibition, leveling and gyrocompassing, has extensive application and is described in sufficient detail in the technical literature. Its key disadvantage is the significant time spent on carrying out all these stages. In this regard, in order to increase the speed of the initial exhibition at a given level of accuracy, it is proposed to use a new algorithm combining the above-mentioned stages and based on the use of multifactor optimization methods. Based on the readings of at least three gyroscopes and at least three accelerometers, the spatial position of the gyro platform is optimized by physically bringing it to the required initial position. The algorithm is based on the method of gradient descent with variable pitch. Simulation modeling of a two-stage algorithm and an optimization algorithm in undisturbed mode and under the influence of typical noise for inertial sensors as the main source of errors during the initial exhibition is carried out. Typical noises, their displays in the frequency and time domains, and their distinctive features are presented. A significant gain in the speed of the optimization algorithm opens up broad prospects for its application, since the arsenal of appropriate methods is multifaceted, but the strong dependence of the accuracy of the exhibition on typical noise requires the development of additional mechanisms for their suppression.

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