全球定位系统
惯性导航系统
加速度计
自动驾驶仪
陀螺仪
稳健性(进化)
俯仰角
姿态和航向参考系统
计算机科学
风三角
高度(三角形)
航位推算
航空航天工程
导航系统
惯性参考系
模拟
实时计算
工程类
人工智能
数学
地质学
电信
几何学
物理
地球物理学
化学
机器人
操作系统
生物化学
量子力学
移动机器人
机器人控制
基因
作者
Matthew B. Rhudy,Mario Luca Fravolini,Marcello R. Napolitano
标识
DOI:10.1016/j.ast.2024.108975
摘要
This paper presents a novel approach for estimating roll and pitch angles of an aircraft by regulating the dead-reckoning drift using pressure altitude measurements. The proposed algorithm uses measurements from rate gyroscopes, pressure altitude, and an air data system to estimate the roll and pitch angles of an aircraft. This unique combination of sensor data offers a new alternative to traditional navigation approaches relying on accelerometers and satellite systems to estimate the aircraft attitude. Multiple flight data sets from a high-speed crewed US Navy T-38 jet are used to validate the proposed approach. Comparable levels of attitude estimation accuracy are reported thus demonstrating that the proposed algorithm is a viable alternative for attitude estimation purposes. Therefore, this approach can be used to improve the robustness and accuracy of attitude estimation algorithms in scenarios where GPS coverage is denied, unreliable, spoofed and/or jammed.
科研通智能强力驱动
Strongly Powered by AbleSci AI