Multi-sensor-based attitude determination system

Abstract

The invention provides a multi-sensor-based attitude determination system, which comprises a sensitive subsystem, a signal acquisition and preprocessing subsystem and an integrated processing subsystem, wherein the sensitive subsystem integrates four classes of sensitive parts such as star sensitive probes, sun sensitive probes, fiber optic gyros and magnetic field probes; the signal acquisition and preprocessing subsystem is realized by an FPGA chip and a peripheral circuit thereof, parallelly receives output data of the four classes of sensitive probes and completes the smoothing and preprocessing of the data; and finally, the integrated processing subsystem taking a DSP (or ARM) chip as a core is utilized to realize the high-precision attitude determination of the system by an ant colony particle filter-based combined attitude determination method according to sunlight information, starlight information, inertial information and geomagnetic information after smoothing and preprocessing. The multi-sensor-based attitude determination system with high precision, integration level and reliability is realized, and has important practical significance for high-resolution earth observation of new-generation earth observation satellites.

Description

technical field [0001] The invention relates to a multi-sensor attitude determination system based on star sensor / sun sensor / optical fiber gyroscope / magnetometer, which is suitable for high-resolution earth observation of a new generation of earth observation satellites and distributed grouping of space environment High-performance attitude determination of micro-satellites for network exploration. Background technique [0002] With the development of the national economy, there is an urgent need to use wide-area and large-scale high-resolution earth observation satellites to conduct high-resolution earth observation and monitoring of ocean, environment, agriculture and forestry resources. , high-cost large satellites to achieve. With the rapid development of satellite technology, micro-satellites have become an important development direction leading the future space distributed detection technology due to their low cost, light weight, flexible maneuverability, short devel...

AI Technical Summary

Problems solved by technology

[0003] At present, at home and abroad, most celestial sensors such as star sensors, sun sensors, and horizons are combined with inertial angular rate sensors to determine the attitude of spacecraft. This will not only increase the volume and weight, but also cause low integration and processing system redundancy

In 2004, the Draper Laboratory of the United States developed a small size, low power consumption, light weight, high attitude determination accuracy, and is suitable for attitude determination of micro satellites (the weight is about 10-100kg, and the energy carried is less). Combined attitude determination system - inertial stellar compass; it integrates three parts: star sensor, MEMS inertial angular rate gyroscope and processing system, which can provide uninterrupted attitude information, but its inertial information processing unit and star sensitive information processing unit They all exist separately, so the integration level is not high, which makes it difficult to meet the high-performance attitude determination requirements in size and power consumption

Patent ZL200610165166.4 proposes a micro-miniature, low-power inertial star compass for micro-nano spacecraft. Although it solves the problem of integrating the inertial information processing unit and the star-sensitive information processing unit, the high-resolution earth observation satellite High precision and reliable attitude determination, but due to the fact that the star-sensitive information is easy to lose under the condition of agile maneuvering, the error of the inertial device cannot be corrected, resulting in a decrease in the accuracy of the attitude determination, and the combined attitude determination method based on the optimal REQUEST algorithm and UKF filter is only For the case of Gaussian noise

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