Development of a radiation based heat model for satellite attitude determination

This paper is focused on the development and verification of a heat attitude model (HAM) for satellite attitude determination. Within this context, the Sun and the Earth are considered as the main external sources of radiation that could effect the satellite surface temperature changes. Assuming that the satellite orbital position (navigational data) is known, the proposed HAM provides the satellite surface temperature with acceptable accuracy and also relates the net heat flux (NHF) of three orthogonal satellite surfaces to its attitude via the inertial to satellite transformation matrix. The proposed HAM simulation results are verified through comparison with commercial thermal analysis tools. The proposed HAM has been successfully utilized in some researches for attitude estimation, and further studies for practical implementations are still ongoing.

[1]  José Gaite,et al.  Nonlinear analysis of spacecraft thermal models , 2010, 1010.4707.

[2]  Yaakov Oshman,et al.  Estimating Attitude from Vector Observations Using a Genetic Algorithm-Embedded Quaternion Particle Filter , 2004 .

[3]  Neil J. Gordon,et al.  A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..

[4]  N. D. Anh,et al.  Thermal radiation analysis for small satellites with single-node model using techniques of equivalent linearization , 2016 .

[5]  E. J. Lefferts,et al.  Kalman Filtering for Spacecraft Attitude Estimation , 1982 .

[6]  Mark L. Psiaki,et al.  AUTONOMOUS LOW-EARTH-ORBIT DETERMINATION FROM MAGNETOMETER AND SUN SENSOR DATA , 1998 .

[7]  Hojjat Behrooz Khaniki,et al.  Determining the heat flux absorbed by satellite surfaces with temperature data , 2014 .

[8]  Maryam Kiani,et al.  Experimental validation of a novel radiation based model for spacecraft attitude estimation , 2016 .

[9]  J. L. Farrell,et al.  Attitude determination by kalman filtering , 1970 .

[10]  H.F. Durrant-Whyte,et al.  A new approach for filtering nonlinear systems , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[11]  Mark L. Psiaki,et al.  Global Magnetometer-Based Spacecraft Attitude and Rate Estimation , 2003 .

[12]  J. Crassidis,et al.  Particle Filtering for Sequential Spacecraft Attitude Estimation , 2004 .

[13]  Nando de Freitas,et al.  Sequential Monte Carlo Methods in Practice , 2001, Statistics for Engineering and Information Science.

[14]  Jih-Run Tsai,et al.  Overview of satellite thermal analytical model , 2004 .

[15]  J. W. Murrell,et al.  Precision attitude determination for multimission spacecraft , 1978 .

[16]  Seid H. Pourtakdoust,et al.  Performance of a novel heat based model for spacecraft attitude estimation , 2017 .

[17]  Rudolph van der Merwe,et al.  The Unscented Kalman Filter , 2002 .

[18]  Maryam Kiani,et al.  Concurrent orbit and attitude estimation using minimum sigma point unscented Kalman filter , 2014 .

[19]  Son-Goo Kim,et al.  Kalman filtering for relative spacecraft attitude and position estimation , 2005 .

[20]  John P. W. Stark,et al.  Spacecraft systems engineering , 1995 .

[21]  F. Markley,et al.  Unscented Filtering for Spacecraft Attitude Estimation , 2003 .

[22]  Niels Kjølstad Poulsen,et al.  New developments in state estimation for nonlinear systems , 2000, Autom..

[23]  Isabel Pérez-Grande,et al.  Nonlinear analysis of a simple model of temperature evolution in a satellite , 2007, 0707.3399.

[24]  James Cutler,et al.  The attitude determination system of the RAX satellite , 2012 .

[25]  Christopher D. Hall,et al.  Spacecraft Dynamics and Control , 2002 .

[26]  S. M. Hossein Karimian,et al.  Satellite Attitude Determination Using Absorbed Heat Fluxes , 2016 .

[27]  M. Shuster.  Constraint in attitude estimation part II: Unconstrained estimation , 2003 .