An Adaptive Neuro-Fuzzy Inference Approach of AOA/AOS Data Fusion for Small Fixed-Wing UAV

Bowen Duan, Yiming Wang, Heng Wang, Yunxiao Liu, Han Li, Jianliang Ai

2025

Abstract

Accurate measurement of angle of attack (AOA) and angle of sideslip (AOS) is crucial for ensuring the safe operation of fixed-wing unmanned aerial vehicles (UAVs) and conducting reliable flight performance evaluations. Given the limited payload capacity of small-sized UAVs, lightweight wind vane probes are commonly employed. Although installing wind vane sensors at the nose typically yields accurate measurements, this placement is impractical for UAVs with front-mounted propellers. An alternative is to position the sensors beneath the wing, but this configuration introduces measurement inaccuracies due to propeller-induced slipstream and fuselage obstruction. To address these challenges, estimating AOA and AOS using inertial data through the unscented Kalman filter (UKF) offers a more robust solution, as it is less affected by external disturbances. This study introduces an adaptive network-based fuzzy inference system (ANFIS) for AOA/AOS data fusion, which compensates for inaccuracies in sensor measurements by integrating UKF-estimated AOA and AOS values. Flight test results demonstrate that the proposed ANFIS model achieves an average relative error of less than 15 %, with the average relative errors being 10.26 % for AOA and 12.77 % for AOS. This fusion approach significantly enhances the accuracy of AOA and AOS measurements, providing a valuable reference for small-sized fixed-wing UAVs.

Paper Citation

in Harvard Style

Duan B., Wang Y., Wang H., Liu Y., Li H. and Ai J. (2025). An Adaptive Neuro-Fuzzy Inference Approach of AOA/AOS Data Fusion for Small Fixed-Wing UAV. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 905-912. DOI: 10.5220/0013431700003929

in Bibtex Style

@conference{iceis25,
author={Bowen Duan and Yiming Wang and Heng Wang and Yunxiao Liu and Han Li and Jianliang Ai},
title={An Adaptive Neuro-Fuzzy Inference Approach of AOA/AOS Data Fusion for Small Fixed-Wing UAV},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={905-912},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013431700003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - An Adaptive Neuro-Fuzzy Inference Approach of AOA/AOS Data Fusion for Small Fixed-Wing UAV
SN - 978-989-758-749-8
AU - Duan B.
AU - Wang Y.
AU - Wang H.
AU - Liu Y.
AU - Li H.
AU - Ai J.
PY - 2025
SP - 905
EP - 912
DO - 10.5220/0013431700003929
PB - SciTePress