Sensor Data Fusion using Kalman Filter for LAPAN-A2 Satellite Attitude Estimation

Author:

AKMAL Shabri C.1,POETRO Ridanto Eko2,SEMBIRING Javensius2,UTAMA Satriya3

Affiliation:

1. Aerospace Engineering, Faculty of Mechanical and Aerospace Engineering, Bandung Institute of Technology, Ganesha St. 10, Bandung 40132, Indonesia, shabriakmal@gmail.com

2. Aerospace Engineering, Faculty of Mechanical and Aerospace Engineering, Bandung Institute of Technology, Ganesha St. 10, Bandung 40132, Indonesia

3. Research Centre for Satellite Technology, National Research and Innovation Agency, Bogor 16310, Indonesia

Abstract

LAPAN A2 is a Low Earth Orbit (LEO) satellite with the primary mission to monitor the area. In order to fulfil the mission’s objectives, the Satellite attitude must be controlled properly. One of the control processes under consideration is the output attitude estimation. Attitude estimation processes in satellites mostly use satellite sensor output transformation. The estimation process, however, cannot be carried out with only one sensor where the generated transformation does not represent the satellite actual attitude. Thus, a fusion of two or more attitude sensors is needed. However, measurement noise, such as the effect of the Earth's albedo on the sun sensor and the interference of the Earth's magnetic field on the magnetometer, is incorporated into the estimation process. Thus, a filtering process is needed. Hence, this study aims to investigate the utilization of the sensor output raw data fusion combined with the Kalman Filter algorithm to estimate the LAPAN-A2 satellite attitude in the form of Euler angle.

Publisher

INCAS - National Institute for Aerospace Research Elie Carafoli

Subject

Aerospace Engineering,Control and Systems Engineering

Reference21 articles.

1. [1] S. Hardhienata, R. H. Triharjanto, M. Mukhayadi, LAPAN-A2: Indonesian Near-Equatorial Surveillance Satellite, APRSAF-18 (Asia-Pacific Regional Space Agency Forum) Singapore, December 6-9, 2011.

2. [2] P. C. Agrawal, AstroSat: From Inception to Realization and Launch, Journal of Astrophysics and Astronomy, 38(2), 1 – 8, 2011.

3. [3] T. Bak, Spacecraft Attitude Determination: A Magnetometer Approach, Ph.D. Thesis, Aalborg Universitetsforlag, Denmark, 1999.

4. [4] Y. Mimasu, J. C. Van der Ha, and T. Narumi, Attitude Determination by Magnetometer and Gyros during Eclipse, AIAA/AAS Astrodynamics Specialist Conference and Exhibit, Japan, 2008.

5. [5] A. Walker, and M. Kumar, CubeSat Attitude Determination Using Low-Cost Sensors and Magnetic Field Time Derivative, 55 th AIAA Aerospace Sciences Meeting, (January), 1–24, 6, Ohio, USA, 2017.

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