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Sensing of a CubeSat using sensor fusion

Grant number: 20/08356-2
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): September 01, 2020
Effective date (End): August 31, 2021
Field of knowledge:Engineering - Aerospace Engineering - Aerospace Systems
Principal researcher:Wilian Miranda dos Santos
Grantee:Vinícius Rosolen Altarni
Home Institution: Universidade Estadual Paulista (UNESP). Campus Experimental São João da Boa Vista. São João da Boa Vista , SP, Brazil

Abstract

In this scientific initiation project, it is proposed to develop a low cost sensing system for a CubeSat. In estimating the attitude, orientation and position of the satellite it is intended to use gyroscopic sensors, accelerometers, magnetometers and a GPS receiver (Global Positioning System). The sensor data will be processed using filters, especially Kalman filters, in order to minimize the errors of each sensor in the composition of the final measurement. However, this project will use low-cost sensors, which generally means increased uncertainty and noise from the sensors. Therefore, robust estimators based on the Kalman filter will be employed to minimize these effects. Experimental results will be presented based on a comparative study between the performances of the estimators based on the Kalman filter and the robust Kalman filter.

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