惯性测量装置
惯性导航系统
惯性基准装置
雷达高度计
计算机科学
雷达
大地测量学
加速度计
重力加速度
加速度
陀螺仪
初始化
风三角
遥感
人工智能
计算机视觉
重力场
惯性参考系
航空航天工程
物理
地质学
工程类
移动机器人
电信
量子力学
程序设计语言
机器人
操作系统
经典力学
天文
机器人控制
作者
Maodeng Li,Xiang‐Yu Huang,Dayi Wang,Chao Xu,Minwen Guo,Jinchang Hu,Xiaowen Zhang
标识
DOI:10.1109/taes.2020.2987405
摘要
This article focuses on the employment of an inertial measurement unit (IMU) and a radar altimeter and velocimeter as navigation sensors for Mars landing navigation. At the beginning of the parachute descent phase, high dynamic oscillatory motion may saturate the gyroscope and produce large attitude estimation errors, thereby producing a high landing risk. To address this problem, an online navigation initialization algorithm is presented by combining data from the IMU and the radar. By defining a new inertial frame, attitude, and Mars-related velocity are conveniently initialized. A key contribution of this article is the computation of gravitational acceleration using IMU and velocimeter's measurements for the approximation of the nadir vector. Given the nadir vector, the inertial position is initialized in conjunction with the altimeter's measurement, the gravitational acceleration is modeled such that the inertial navigation equation can be propagated and the propagated altitude and velocity can be corrected by radar radar-derived measurements.
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