Angle-of-attack and angle-of-sideslip estimation and complementary filter design for civil aircraft

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS ISA transactions Pub Date : 2024-11-01 DOI:10.1016/j.isatra.2024.08.007
Shaobo Zhai , Guangwen Li , Penghui Huang , Mingshan Hou , Qiuling Jia
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Abstract

Angle-of-Attack (AOA) and angle-of-sideslip (AOS) are critical flight parameters affecting the flight safety, and their accuracy and reliability directly impact the operating status and performance of some significant airborne systems. To enhance the redundancy and accuracy of AOA and AOS, this article investigates the problem of the airflow angles estimation and complementary filter design for civil aircraft. Specifically, an extended Kalman filter based AOA and AOS estimation method considering acceleration correction is developed to increase the redundancy. Subsequently, a novel inertial AOA and inertial AOS calculation method using attitude angles, azimuth angle, and flight path angle is introduced, and two schemes for designing the discrete complementary filter based on Tustin transform are presented to improve the accuracy. Through simulations, the developed algorithms are verified, and the results illustrate that the AOA estimation error is within ± 0.6°, and the AOS estimation error is within ± 0.3°.
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民用飞机的攻角和侧滑角估计及互补滤波器设计。
攻击角(AOA)和侧滑角(AOS)是影响飞行安全的关键飞行参数,其精度和可靠性直接影响着一些重要机载系统的运行状态和性能。为了提高 AOA 和 AOS 的冗余度和精度,本文研究了民用飞机的气流角估计和互补滤波器设计问题。具体来说,本文开发了一种基于卡尔曼滤波器的扩展 AOA 和 AOS 估计方法,其中考虑了加速度修正,以增加冗余度。随后,介绍了一种使用姿态角、方位角和飞行路径角的新型惯性 AOA 和惯性 AOS 计算方法,并提出了两种基于 Tustin 变换的离散互补滤波器设计方案,以提高精度。通过仿真验证了所开发的算法,结果表明 AOA 估计误差在 ± 0.6° 以内,AOS 估计误差在 ± 0.3° 以内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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