Study and analysis of the aerodynamic coupling of multiple UAVs in formation flight
Abstract
This project focuses on the study and analysis of the aerodynamic coupling of unmanned aerial vehicles in formation flight. It consiThis project focuses on the study and analysis of the aerodynamic coupling of unmannedaerial vehicles in formation flight. It considers the development of theoretical methodologies (study and analysis) for the aerodynamic interaction of a group of unmanned aerialders the development of theoretical methodologies(study and analysis) for the aerodynamic interaction of a group of unmanned aerial vehicles such as the ground effect, vortex effect and sideslip effect. The use of computational tools will be used such as CFD (Com vehiclessuch as the ground effect, vortex effect and sideslip effect. The use of computational toolswill be used such as CFD (Computational Fluid Dynamics) to describe the aerodynamic behavior of one or more unmanned aerial vehicles in cooperative flight. In orputational Fluid Dynamics) to describe the aerodynamicbehavior of one or more unmanned aerial vehicles in cooperative flight. In order to validate the study obtained in the CFD simulation, an experimental analysis will be carried out in a wind tunnel, taking intoder to validatethe study obtained in the CFD simulation, an experimental analysis will be carried out in awind tunnel, taking into account the Reynolds number scaling for multiple aerial vehicles. A methodology to study new models based on reinforcement learning account the Reynolds number scaling for multiple aerial vehicles. Amethodology to study new models based on reinforcement learning techniques will be developed including the aerodynamic parameters obtained from simulation and experimental results. The distribute techniques will bedeveloped including the aerodynamic parameters obtained from simulation and experimentalresults. The distributed navigation, for these aerial vehicles, refers to the fact that each UAV can obtain information of its variables of state and thesed navigation, for these aerial vehicles, refers to the fact that each UAVcan obtain information of its variables of state and these from its neighbors and it will consist of the conceptual aerodynamics and Euclidean geometry. This navigation will be proposed usin from its neighbors and it will consistof the conceptual aerodynamics and Euclidean geometry. This navigation will be proposedusing linear and nonlinear control techniques. A global structure for the coordinated and formation flight of the UAVs will be developedg linear and nonlinear control techniques. A global structure for the coordinated andformation flight of the UAVs will be developed involving fuzzy consensus approach with the Multi-agent Trajectory Planner (MTP). Then, formation flight tests of multiple UAVs wit involving fuzzy consensus approach withthe Multi-agent Trajectory Planner (MTP). Then, formation flight tests of multiple UAVswith flexible formation will be performed so that the vehicles can navigate in mazes withobstacle detection and collision avoidance.h flexible formation will be performed so that the vehicles can navigate in mazes withobstacle detection and collision avoidance.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jun 17, 2020
- Source ID
- N629092012030
Entities
People
- Octavio Garcia Salazar
Organizations
- Office of Naval Research
- United States Navy
- Universidad Autónoma Nuevo León