A Hardware-in-the-loop Simulation System of Deep Space Autonomous Navigation Based on Angle and Velocity Measurement

Abstract

Deep space navigation based on angle and velocity measurement is a novel autonomous navigation method proposed in recent years. On the background of the first Chinese Mars exploration mission to be launched in 2020, a ground autonomous navigation simulation system is proposed and established using the deep space orbital dynamics and various navigation sources. The system is composed of deep space dynamic module, image and velocity simulation module and navigation filtering module. The performance of deep space angular and velocity measurement navigation method is evaluated by comparing and analyzing the experimental data under different cases. The results show that the integrated navigation system based on the integration of angle measurement and velocity measurement information can effectively achieve real-time and high-precision autonomous navigation, and its accuracy can be improved compared with the ground-based radio navigation method. The results show also show that and the longer the probe travels, the more advantage of the integrated autonomous navigation method can achieve.