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Aerostats/orbiters radiometric measurement based integrated navigation for Mars descent and landing

机译:基于浮空器/轨道器辐射测量的综合导航,用于火星下降和着陆

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Autonomous navigation is considered as a key technology for Mars landing missions. The traditional inertial navigation system (INS) and optical measurement based integrated navigation mode is quite incompetent to provide effective navigation for Mars terminal descent and landing phase with low visibility. As a necessary part of Mars lander, radio equipment can be used to support navigation system by providing beacon measurement(s) without dedicated sensor(s). This paper developed inertial measurement unit (IMU) and orbits/aerostats beacons based integrated navigation scheme for Mars powered descent and landing. The range and Doppler information sensed from orbiter and aerostats beacons and the lander's state information derived from IMU are integrated in extended Kalman filter (EKF) to correct the inertial constant bias and suppress the navigation measurement noise. Simulation results show that the localization precision is better than 10 m and the velocity precision is better than 1 m/s when the trajectories of orbiter and aerostats are set appropriately. So it is a promising and attractive autonomous navigation scheme for Mars lander even if low visibility and sandstorm occur.
机译:自主导航被视为火星着陆任务的关键技术。传统的惯性导航系统(INS)和基于光学测量的集成导航模式无法为低可见度的火星终端下降和着陆阶段提供有效的导航。作为火星着陆器的必要组成部分,无线电设备可通过提供信标测量而无需专用传感器来支持导航系统。本文开发了基于惯性测量单元(IMU)和基于轨道/浮空信标的火星下降和着陆的综合导航方案。从轨道器和浮空器信标感应到的距离和多普勒信息以及从IMU获得的着陆器状态信息都集成在扩展卡尔曼滤波器(EKF)中,以校正惯性常数偏差并抑制导航测量噪声。仿真结果表明,适当设置轨道和浮空器的轨迹,定位精度优于10 m,速度精度优于1 m / s。因此,即使低能见度和沙尘暴发生,这对于火星着陆器来说也是一种很有前途且有吸引力的自主导航方案。

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