Real-time parameter identification method for a novel blended-wing-body tiltrotor UAV

Y Xu, X Wang, J Zhang - Measurement, 2022 - Elsevier
An accurate aircraft dynamic model is essential for the flight control system design and flight
characteristic analysis of tiltrotor unmanned aerial vehicle (UAV). The unique aerodynamic …

EKF-based parameter identification of multi-rotor unmanned aerial vehiclesmodels

R Munguía, S Urzua, A Grau - Sensors, 2019 - mdpi.com
This work presents a method for estimating the model parameters of multi-rotor unmanned
aerial vehicles by means of an extended Kalman filter. Different from test-bed based …

Active model-based nonlinear system identification of quad tilt-rotor UAV with flight experiments

Z Liu, D Theilliol, Y He, F Gu, L Yang, J Han - Science China Information …, 2022 - Springer
To propose an accurate and less complex model of a special unmanned aerial vehicle
(UAV), namely tilt-rotor UAV (TRUAV), this study identifies the active model-based nonlinear …

An improved online system identification method for tiltrotor aircraft

W Wu, R Chen - Aerospace Science and Technology, 2021 - Elsevier
An online system identification method for tiltrotor aircraft flight dynamics modeling is
developed in this paper. A general parametric flight dynamics model which can be used for …

Calculation and identification of the aerodynamic parameters for small-scaled fixed-wing UAVs

J Shen, Y Su, Q Liang, X Zhu - Sensors, 2018 - mdpi.com
The establishment of the Aircraft Dynamic Model (ADM) constitutes the prerequisite for the
design of the navigation and control system, but the aerodynamic parameters in the model …

Improved adaptive extended Kalman algorithm for attitude estimation of multi-rotor UAV

X Zhang, Y Bai, CJ Zhao, RJ Wang, X Gong, ZJ Xu - 2014 - ir.ciomp.ac.cn
摘要 An improved Sage-Husa adaptive extended Kalman filter algorithm is proposed to
ensure the precision and stability of calculating attitude angles of a multi-rotor Unmanned …

Comparison of linear and nonlinear aerodynamic parameter estimation approaches for an unmanned aerial vehicle using unscented Kalman filter

M Li, L Liu, SM Veres - Journal of Beijing Institute of Technology, 2011 - journal.bit.edu.cn
Aerodynamic parameter estimation provides an effective way for aerospace system
modeling using measured data from flight tests, especially for the purpose of developing …

Longitudinal Aerodynamic Parameter Identification for Blended-Wing-Body Aircraft Based on a Wind Tunnel Virtual Flight Test

L Wang, S Tai, T Yue, H Liu, Y Wang, C Bu - Aerospace, 2022 - mdpi.com
The wind tunnel virtual flight test realizes the dynamic semi-free flight of the model in the
wind tunnel through the deflections of the control surface and uses the test data to identify …

Wind field disturbance analysis and flight control system design for a novel tilt-rotor UAV

Q Zhang, J Zhang, X Wang, Y Xu, Z Yu - IEEE Access, 2020 - ieeexplore.ieee.org
The wind field has a great influence on the control stability of Tilt-rotor unmanned aerial
vehicle (UAV), especially during the take-off and landing phase. The airspeed of UAV is so …

Modeling, system identification and validation of small rotorcraft-based unmanned aerial vehicle

F Yang, X Xiong, Z Chen, P Zhang - 北京航空航天大学学报, 2010 - bhxb.buaa.edu.cn
In order to realize the flight control system of small rotorcraft-based unmanned aerial
vehicles (RUAV), a precise dynamics model is needed. A time-domain system identification …