Cooperative tracking for a swarm of Unmanned Aerial Vehicles: A distributed Tagaki-Sugeno fuzzy framework design

2011 ◽  
Author(s):  
Georgios P. Kladis ◽  
Prathyush P. Menon ◽  
Christopher Edwards
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Framework Design ◽  
Aerial Vehicles ◽  
Cooperative Tracking ◽  
Fuzzy Framework

Tracking Multiple Ground Targets in Urban Environments Using Cooperating Unmanned Aerial Vehicles

2015 ◽  
Vol 137 (5) ◽  
Author(s):  
Vitaly Shaferman ◽  
Tal Shima
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Optimization Problem ◽  
Task Assignment ◽  
Monte Carlo Study ◽  
Urban Environments ◽  
Test Bed ◽  
Team Members ◽  
Distributed Approach ◽  
Aerial Vehicles ◽  
Cooperative Tracking

A distributed approach is proposed for planning a cooperative tracking task for a team of heterogeneous unmanned aerial vehicles (UAVs) tracking multiple predictable ground targets in a known urban environment. The solution methodology involves finding visibility regions, from which the UAV can maintain line-of-sight to each target during the scenario, and restricted regions, in which a UAV cannot fly, due to the presence of buildings or other airspace limitations. These regions are then used to pose a combined task assignment and motion planning optimization problem, in which each UAV's cost function is associated with its location relative to the visibility and restricted regions, and the tracking performance of the other UAVs in the team. A distributed co-evolution genetic algorithm (CEGA) is derived for solving the optimization problem. The proposed solution is scalable, robust, and computationally parsimonious. The algorithm is centralized, implementing a distributed computation approach; thus, global information is used and the computational workload is divided between the team members. This enables the execution of the algorithm in relatively large teams of UAVs servicing a large number of targets. The viability of the algorithm is demonstrated in a Monte Carlo study, using a high fidelity simulation test-bed incorporating a visual database of an actual city.

scholarly journals Design of Standoff Cooperative Target-Tracking Guidance Laws for Autonomous Unmanned Aerial Vehicles

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Zhen Li ◽  
Xin Chen ◽  
Zhenhua Zhao
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Lyapunov Theory ◽  
Control System Design ◽  
Guidance Law ◽  
Aerial Vehicles ◽  
Communication Topology ◽  
The Stability ◽  
Cooperative Tracking ◽  
Guidance Laws ◽  
Lyapunov Vector

This paper investigates two guidance laws of standoff cooperative tracking static and moving of multiple autonomous unmanned aerial vehicles for targets from the perspective of the control system design. In the scheme of the proposed guidance laws, one vehicle is chosen as leader and others as followers. The leader only needs the measurement of the target, and the followers only measure the leader and its neighbors in the communication topology network. By using the proposed guidance laws, it is guaranteed that all vehicles can track a static or moving target with an evenly spaced formation of circle. Considering the coupling of tracking and cooperation, the stability analysis is performed by constructing two relatively independent subsystems based on Lyapunov theory, and the corresponding rigorous proofs of stability are given. By comparing with the Lyapunov vector field guidance law, the simulation results verify the effectiveness and superiority of the proposed guidance laws.

Development of thickened semi-synthetic engine oil M-5z / 20 AERO for four-stroke gasoline engines aircraft piston of unmanned aerial vehicles (UAVs)

2020 ◽  
Vol 06 ◽  
pp. 44-47
Author(s):  
A.A. Moykin ◽  
◽  
A.S. Medzhibovsky ◽  
S.A. Kriushin ◽  
M.V. Seleznev ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Engine Oil ◽  
Motor Oil ◽  
Gasoline Engines ◽  
State Research Institute ◽  
Technical Requirements ◽  
Aerial Vehicles ◽  
State Research ◽  
Industrial Batch ◽  
The Russian Federation

Nowadays, the creation of remotely-piloted aerial vehicles for various purposes is regarded as one of the most relevant and promising trends of aircraft development. FAU "25 State Research Institute of Chemmotology of the Ministry of Defense of the Russian Federation" have studied the operation features of aircraft piston engines and developed technical requirements for motor oil for piston four-stroke UAV engines, as well as a new engine oil M-5z/20 AERO in cooperation with NPP KVALITET, LLC. Based on the complex of qualification tests, the stated operational properties of the experimental-industrial batch of M-5z/20 AERO oil are generally confirmed.

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