scholarly journals Wind gust estimation for precise quasi-hovering control of quadrotor aircraft

2021 ◽  
Vol 116 ◽  
pp. 104930
Author(s):  
Sheikh Izzal Azid ◽  
Krishneel Kumar ◽  
Maurizio Cirrincione ◽  
Adriano Fagiolini
Keyword(s):  
Wind Gust ◽  
Quadrotor Aircraft ◽  
Hovering Control

Wind-gust Compensation Algorithm based on High-gain Residual Observer to Control a Quadrotor Aircraft: Real-time Verification Task at Fixed Point

2018 ◽  
Vol 16 (2) ◽  
pp. 856-866 ◽  
Author(s):  
Abraham Efraim Rodríguez-Mata ◽  
Ivan González-Hernández ◽  
Jesus Gabriel Rangel-Peraza ◽  
Sergio Salazar ◽  
Rogelio Lozano Leal
Keyword(s):  
Fixed Point ◽  
Real Time ◽  
High Gain ◽  
Wind Gust ◽  
Verification Task ◽  
Compensation Algorithm ◽  
Quadrotor Aircraft

Hovering control for quadrotor aircraft based on finite-time control algorithm

2017 ◽  
Vol 88 (4) ◽  
pp. 2359-2369 ◽  
Author(s):  
Wenwu Zhu ◽  
Haibo Du ◽  
Yingying Cheng ◽  
Zhaobi Chu
Keyword(s):  
Finite Time ◽  
Control Algorithm ◽  
Time Control ◽  
Quadrotor Aircraft ◽  
Hovering Control

scholarly journals Real-Time Hovering Control of Unmanned Aerial Vehicles

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Cuauhtémoc Acosta Lúa ◽  
Claudia Carolina Vaca García ◽  
Stefano Di Gennaro ◽  
B. Castillo-Toledo ◽  
María Eugenia Sánchez Morales
Keyword(s):  
Control Problem ◽  
Real Time ◽  
Vehicle Dynamics ◽  
Fixed Position ◽  
Quadrotor Aircraft ◽  
Aerial Vehicle ◽  
Euler Approach ◽  
Error Dynamics ◽  
The Stability ◽  
Hovering Control

In this paper, the design of a controller for the altitude and rotational dynamics is presented. In particular, the control problem is to maintain a desired altitude in a fixed position. The unmanned aerial vehicle dynamics are described by nonlinear equations, derived using the Newton–Euler approach. The control problem is solved imposing the stability of the error dynamics with respect to desired position and angular references. The performance and effectiveness of the proposed control are tested, first, via numerical simulations, using the Pixhawk Pilot Support Package simulator provided by Mathworks. Then, the controller is tested via a real-time implementation, using a quadrotor Aircraft F-450.

scholarly journals Multi-fidelity black-box optimization for time-optimal quadrotor maneuvers

2021 ◽  
pp. 027836492110333
Author(s):  
Gilhyun Ryou ◽  
Ezra Tal ◽  
Sertac Karaman
Keyword(s):  
Real World ◽  
High Speed ◽  
Analytical Approximation ◽  
Black Box ◽  
Bayesian Optimization ◽  
Optimization Framework ◽  
Quadrotor Aircraft ◽  
Time Optimal ◽  
Feasibility Constraints ◽  
Generation Problem

We consider the problem of generating a time-optimal quadrotor trajectory for highly maneuverable vehicles, such as quadrotor aircraft. The problem is challenging because the optimal trajectory is located on the boundary of the set of dynamically feasible trajectories. This boundary is hard to model as it involves limitations of the entire system, including complex aerodynamic and electromechanical phenomena, in agile high-speed flight. In this work, we propose a multi-fidelity Bayesian optimization framework that models the feasibility constraints based on analytical approximation, numerical simulation, and real-world flight experiments. By combining evaluations at different fidelities, trajectory time is optimized while the number of costly flight experiments is kept to a minimum. The algorithm is thoroughly evaluated for the trajectory generation problem in two different scenarios: (1) connecting predetermined waypoints; (2) planning in obstacle-rich environments. For each scenario, we conduct both simulation and real-world flight experiments at speeds up to 11 m/s. Resulting trajectories were found to be significantly faster than those obtained through minimum-snap trajectory planning.

scholarly journals Northern Ireland's longstanding record wind gust is almost certainly incorrect

Weather ◽  
2019 ◽  
Vol 75 (1) ◽  
pp. 8-13
Author(s):  
Lucy Aylott ◽  
Stephen Burt ◽  
Mark Saunders
Keyword(s):  
Wind Gust

scholarly journals A geostatistical extreme-value framework for fast simulation of natural hazard events

2016 ◽  
Vol 472 (2189) ◽  
pp. 20150855 ◽  
Author(s):  
Benjamin D. Youngman ◽  
David B. Stephenson
Keyword(s):  
Natural Hazard ◽  
Computational Cost ◽  
Additive Model ◽  
Simulation Method ◽  
Value Theory ◽  
Extreme Value ◽  
Wind Gust ◽  
Continuous Space ◽  
Statistical Framework ◽  
Distribution Parameters

We develop a statistical framework for simulating natural hazard events that combines extreme value theory and geostatistics. Robust generalized additive model forms represent generalized Pareto marginal distribution parameters while a Student’s t -process captures spatial dependence and gives a continuous-space framework for natural hazard event simulations. Efficiency of the simulation method allows many years of data (typically over 10 000) to be obtained at relatively little computational cost. This makes the model viable for forming the hazard module of a catastrophe model. We illustrate the framework by simulating maximum wind gusts for European windstorms, which are found to have realistic marginal and spatial properties, and validate well against wind gust measurements.

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