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The paper proposes an approach of the nanosatellite attitude determination problem solution using elements of artificial intelligence technology. This approach consists in the reconfiguration of the algorithms of the nanosatellite attitude determination problem solution based on the knowledge database that can be enriched to ensure the robustness of the feedback loop (the nanosatellite attitude determination using different combinations of different types of measurement information by various algorithms). This research results are presented in relation to the nanosatellite of the SamSat family: values of measurement significance coefficients are chosen; then generalized algorithm significance coefficients are calculated for various combinations of operable measuring means using chosen coefficients.

Algorithms for determining the attitude and angular rate damping of the SamSat-218D nanosatellite developed at Samara State Aerospace University are described in the paper. The date of the prospective launching of the satellite into the Earth orbit from Vostochniy spaceport is April, 2016. A triaxial magnetometer and luminance sensors are used as sources of information in the orientation system. Three magnetic coils serve as actuators providing the angular rate damping onboard the nanosatellite. A known method of vector coordination with the original criterion of preliminary measurement rejection is used as the orientation determination algorithm since the vector coordination method is very sensitive to measurement errors. The traditional B-dot algorithm is used as the damping algorithm. The influence of the initial angular rates on the magnetic moment coefficient in the B-dot control algorithm is studied. Since the continuous mode of operation of magnetic coils on board the nanosatellite is unpractical due to the necessity of measuring variations in the Earth magnetic field intensity vector the damping process is analyzed in the discrete mode of operation at different values of angular rates of nanosatelite separation. The comparison of the algorithm processing speed in the continuous and discrete operating modes at various initial angular rates of separation is given.