Straight-Line Path Following in Windy Conditions

Brezoescu, A.; Castillo, Pedro; Lozano, Rogelio

doi:10.5194/isprsarchives-xxxviii-1-c22-283-2011

Cited by 10 publications

(4 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A matter of particular concern was the occurrence of strong and gusty winds, which are a very frequent meteorological phenomenon on these islands [36]. Accordingly, we gave special attention to the effects on the aircraft trajectory by wind [37]. The general rule of thumb for flying drones is that the wind speed should be no more than two-thirds of the maximum speed of the drone.…”

Section: Preliminary Considerations: Choice Of the Dronementioning

confidence: 99%

Fixed-Wing UAV Flight Operation under Harsh Weather Conditions: A Case Study in Livingston Island Glaciers, Antarctica

Bello-Patricio

Navarro

Raposo

et al. 2022

Drones

View full text Add to dashboard Cite

How do the weather conditions typical of the polar maritime glaciers in the western Antarctic Peninsula region affect flight operations of fixed-wing drones and how should these be adapted for a successful flight? We tried to answer this research question through a case study for Johnsons and Hurd glaciers, Livingston Island, using a fixed-wing RPAS, in particular, a Trimble UX5 UAV with electric pusher propeller by brushless 700 W motor, chosen for its ability to fly long distances and reach inaccessible areas. We also evaluated the accuracy of the point clouds and digital surface models (DSM) generated by aerial photogrammetry in our case study. The results were validated against ground control points taken by differential GNSS techniques, showing an accuracy of 0.16 ± 0.12 m in the vertical coordinate. Various hypotheses were proposed and flight-tested, based on variables affecting the flight operation and the data collection, namely, gusty winds, low temperatures, battery life, camera configuration, and snow reflectivity. We aim to provide some practical guidelines that can help other researchers using fixed-wing drones under climatic conditions similar to those of the South Shetland Islands. Performance of the drone under harsh weather conditions, the logistical considerations, and the amount of snow at the time of data collection are factors driving the necessary modifications from those of conventional flight operations. We make suggestions concerning wind speed and temperature limitations, and avoidance of sudden fog banks, aimed to improve the planning of flight operations. Finally, we make some suggestions for further research.

show abstract

Section: Preliminary Considerations: Choice Of the Dronementioning

confidence: 99%

Fixed-Wing UAV Flight Operation under Harsh Weather Conditions: A Case Study in Livingston Island Glaciers, Antarctica

Bello-Patricio

Navarro

Raposo

et al. 2022

Drones

View full text Add to dashboard Cite

show abstract

“…The controller, validated by simulations, aims to follow straight-line and circular trajectories under different wind conditions. [4] presents a nonlinear controller to make a MAV follow a straight-line reference successfully. Various constant lateral wind components (crosswind) up to 40% of the MAV speed are considered in this work.…”

Section: A Related Workmentioning

confidence: 99%

Navigation strategy in-flight retrieving and transportation operations for a rotorcraft MAV

Escareño

Castillo

Abassi

et al. 2017

2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS)

View full text Add to dashboard Cite

The paper addresses a robust navigation strategy of a rotorcraft class having a simple robotic arm to perform rapid in-flight retrieving operations in presence of wind gusts and aerodynamic effects. The target-acquiring trajectory planner is based on a cosinusoidal dynamic pattern. The mathematical model is extended to account not only the dynamics of the robotic arm but also the aerodynamics. The navigation control scheme is based on a soft integral slidingmode control (ISC) to stabilize both inner-and outer-loop dynamics regarding the rejection of not only the dynamic couplings but also aerodynamic disturbances. Detailed simulations including realistic aerodynamic effects results show the validity of the proposed navigation strategy while tracking the objectto-retrieve trajectory.

show abstract

“…The path planning is treated as an optimization problem and assumes the knowledge of the constant wind component, while the sliding surface controller is aimed at dealing with small time varying wind compo nents. A nonlinear controller is presented in [4] regarding to the following of a straight-line reference considering various constant lateral wind components (crosswind) up to 40% of the MAV speed.…”

Section: Introductionmentioning

confidence: 99%

Quad-rotor MAV trajectory planning in wind fields

Guerrero¹,

Escareño

Bestaoui

2013

2013 IEEE International Conference on Robotics and Automation

View full text Add to dashboard Cite

International audienceThis paper addresses the problem of time optimal path planning for a quadrotor helicopter evolving in a region of known winds. Usually, the flight control of quadrotors subject to wind disturbances challenge seeks to find the optimal control to keep track of a desired trajectory in a windy region. This approach has one major disadvantage: the quadrotor flight control has to compensate for trajectory deviations; therefore, the energy consumption becomes an issue. Most unmanned aerial vehicles (UAV) navigation techniques use waypoints to accomplish their missions. In the framework of a waypoint based navigation, a promising path planning strategy would be a time optimal approach in which the UAV would take advantage of wind to reach its next waypoint; therefore, saving time and energy (under constant forward velocity constraint). A model separation is used to simplify the control of the six-degrees-of-freedom (6DOF) dynamics of the quadrotor. Such approach allows to deal with quadrotor's 3D-motion through two subsystems: dynamic (altitude and MAV-relative forward velocity) and kinematic (nonholonomic navigation) subsystems. In terms of control, a hierarchical control scheme is used to stabilize dynamic and kinematic underactuated subsystems involved in the navigation task. The time optimal path planning is computed using a dynamic optimization method for continuous systems with some state variables specified at an unspecified terminal time. Results have been validated in simulation

show abstract

Straight-Line Path Following in Windy Conditions

Cited by 10 publications

References 8 publications

Fixed-Wing UAV Flight Operation under Harsh Weather Conditions: A Case Study in Livingston Island Glaciers, Antarctica

Fixed-Wing UAV Flight Operation under Harsh Weather Conditions: A Case Study in Livingston Island Glaciers, Antarctica

Navigation strategy in-flight retrieving and transportation operations for a rotorcraft MAV

Quad-rotor MAV trajectory planning in wind fields

Contact Info

Product

Resources

About