Multi-sensor-based micro-satellite attitude determination method

Abstract

The invention relates to a multi-sensor-based micro-satellite attitude determination method, which determines the attitude of a micro-satellite by using a MEMS gyro, a magnetometer and a sun sensor asattitude determination sensors based on an improved federated filtering algorithm. According to the present invention, the application background of the micro-satellite is fully considered, and the sensors with advantages of low cost, small volume, low power consumption and the like are selected as the attitude sensors, wherein the MEMS gyro is used as the main attitude sensor, the initial attitude determination information is obtained through integral, and the magnetometer and the sun sensor are used as the auxiliary attitude sensors to timely correct the attitude determination result of theMEMS gyros; and the improved federated filtering algorithm is provided, and achieves the attitude calculation and information fusion based on the sensors, such that the attitude determination precision of the micro-satellite attitude determination system is effectively improved, and the advantages of excellent good fault tolerance, good real-time performance and the like are provided.

Description

technical field [0001] The invention relates to a method for determining the attitude of a tiny satellite. Background technique [0002] Attitude Determination and Control System (ADCS) is one of the prerequisites for the normal operation of micro-satellites. [0003] Currently commonly used satellite attitude sensors include gyroscopes, star sensors, sun sensors, and magnetometers. Among them, the gyroscope is the most commonly used as an inertial sensor, and the satellite attitude can be solved by integral. Traditional high-precision gyroscopes are not suitable for micro-satellites due to their high price and high power consumption; MEMS gyroscopes have advantages in terms of size, power consumption, and cost, but their accuracy is not ideal, with large drift and error accumulation over time. shortcoming. Solving the attitude determination accuracy of the micro-satellite attitude determination system based on MEMS sensors is the current primary task. The magnetometer d...

AI Technical Summary

Problems solved by technology

However, from the principle of extended Kalman filtering, it can be found that it has a better filtering effect on weak nonlinear systems; when the nonlinearity of the system is relatively strong, there may be multiple extreme points, which may easily lead to slow convergence or even divergence. And the amount of calculation is large

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