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Development and Verification of LQG based Attitude Determination and Control Algorithm of Cube-satellite 'SNUGLITE' using GPS and Multiple Sensors

机译:基于LQG基于LQG的姿态确定与控制算法的立方体卫星“Snuglite”的开发与验证使用GPS和多传感器

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Nowadays, various research has been done for cubesat, a nano-satellite small and inexpensive compared to general satellites. It is used for educational reasons, cost reduction, and various other missional reasons. Most of the cubesats have been launched for low earth orbit (LEO) where orbit environments such as eclipse and various disturbance torques, such as gravity gradient torque, solar radiation torque, and aerodynamic torque exist. Since cubesats have small moment of inertia (MOI) causing it to be sensitive for disturbance torques existing in the low earth orbit. Therefore, designing attitude control algorithm is important not only for the survival, but also for successful mission. This paper will examine the attitude determination and control system (ADCS) algorithm for cubesat SNUGLITE (Seoul National University GNSS Laboratory satellITE) and show how the proposed algorithm satisfies the ADCS requirements considering the operation scenario. The ADCS is composed of 3-axis MEMs gyroscope sensor, 2-axis coarse photodiode type sun sensors, 3-axis MEMs magnetometer, dual frequency GPS receivers, and 3-axis magnetic torquers. The EKF (Extended Kalman Filter) and LQG (Linear Quadratic Gaussian) controller has been chosen for ADCS algorithm for SNUGLITE. Furthermore, this paper will provide SILS (Software In the Loop System) that simulates the space environment to verify the proposed ADCS algorithm.
机译:如今,与一般卫星相比,纳米卫星小且廉价的纳米卫星进行了各种研究。它用于教育原因,降低成本和各种其他信念原因。大多数立方体已经为低地球轨道(LEO)发射,其中轨道环境,例如Eclipse和各种干扰扭矩,例如重力梯度扭矩,太阳辐射扭矩和空气动力学扭矩。由于立方体具有惯性的小片刻(MOI),因此导致它对低地轨道中存在的干扰扭矩感到敏感。因此,设计姿态控制算法不仅为生存而重要,而且对于成功的使命来说是重要的。本文将研究CubeSat Snuglite(首尔国立大学GNSS实验室卫星)的姿态确定和控制系统(ADCS)算法,并展示所提出的算法如何满足考虑到操作场景的ADCS要求。 ADC由3轴MEMS陀螺仪传感器,2轴粗光电二极管型太阳传感器,3轴MEMS磁力计,双频GPS接收器和3轴磁性扭转器组成。已选择EKF(扩展卡尔曼滤波器)和LQG(线性二次高斯)控制器,用于Snuglite的ADCS算法。此外,本文将为SILS(循环系统中的软件)提供模拟空间环境以验证所提出的ADCS算法。

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