Aerodynamic Model-Aided Estimation of Attitude, 3-D Wind, Airspeed, AOA, and SSA for High-Altitude Long-Endurance UAV

Wonkeun Youn, Hyoungsik Choi, Am Cho, Sungyug Kim, Matthew B. Rhudy

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This article proposes a novel dynamic model-aided navigation filter to estimate the safety-critical states of an aircraft including the effect of wind. Aerodynamic coefficients and control signals are used to predict the angular rates. Experimental flight results of a high-altitude long-endurance unmanned aerial vehicle (UAV) demonstrated improvement in attitude estimation compared to a model-based navigation algorithm that does not consider wind, as well as accurate attitude estimation without using gyroscope signals, demonstrating its effectiveness for analytical redundancy.

Original languageEnglish (US)
Article number9076038
Pages (from-to)4300-4314
Number of pages15
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume56
Issue number6
DOIs
StatePublished - Dec 2020

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Electrical and Electronic Engineering

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