scholarly journals Study on Composing Dense Formations in a Dynamic Environment of Multirotor UAVs by Distributed Control

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Shudao Zhou ◽  
Ao Shen ◽  
Min Wang ◽  
Shuling Peng ◽  
Zhanhua Liu
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Dynamic Model ◽  
Distributed Control ◽  
Distributed Algorithm ◽  
Search Algorithm ◽  
Dynamic Environment ◽  
Step Motion ◽  
Aerial Vehicles ◽  
Path Search ◽  
The Membership Function

In order to make multirotor unmanned aerial vehicles (UAV) compose a desired dense formation and improve the practicality of UAV formation, a distributed algorithm based on fuzzy logic was proposed. The airflow created by multirotor UAVs was analyzed according to the structure of the multirotor UAV and the characteristic equation of the fluid. This paper presented a dynamic model for the process of formation of and path search algorithm based on this model. The membership function in this model combines the factors of position, flow field, and movement. Integrating the dynamic model and its desired position in formations, each UAV evaluates the surrounding points and then selects the direction for step motion. Through simulation, this algorithm was improved by a by-step formation approach, and the effectiveness of this method in dense formation of multirotor UAVs was proved.

scholarly journals Distributed Control of Networked Unmanned Aerial Vehicles for Valley Area Coverage

2016 ◽  
Vol 2016 ◽  
pp. 1-12
Author(s):  
Mengji Shi ◽  
Kaiyu Qin
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Distributed Control ◽  
A Priori ◽  
Future Research ◽  
Control Law ◽  
Full Coverage ◽  
Aerial Vehicles ◽  
Crash Avoidance ◽  
Pass Through ◽  
Valley Area

The paper provides a novel cooperative motion scheme for networked Unmanned Aerial Vehicles (UAVs) to fully sweep-cover a priori unknown elongated areas with curved borders, which are termed “valley areas.” The UAVs’ motion is confined between the borders. Different from former research on straight-corridor-sweep-coverage, in each valley area, the width of different portions varies dramatically: the UAVs need to line up across the valley area to achieve full coverage of the widest portions while they can only pass through the narrowest parts one by one in a queue. The UAVs are provided with barrier detection and inter-UAV communication. According to the scheme, a distributed control law has been offered for discrete-time multi-UAV systems, guaranteeing crash avoidance and full coverage while considering the constrained mobility of the UAVs. Regular and extreme simulations are carried out to verify the efficacy and stability of the proposed algorithm. Solutions to U-shaped valley coverage and the case of insufficient UAVs available are discussed with validation simulations. Comparison simulations are conducted with respect to a line-sweep-coverage algorithm developed by a closely related work, and differences in performance are revealed subsequently. Conclusions are drawn with possible directions of future research.

scholarly journals A Hierarchical Cooperative Mission Planning Mechanism for Multiple Unmanned Aerial Vehicles

Electronics ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 443 ◽  
Author(s):  
Zhe Zhao ◽  
Jian Yang ◽  
Yifeng Niu ◽  
Yu Zhang ◽  
Lincheng Shen
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Search Algorithm ◽  
Pseudospectral Method ◽  
Task Assignment ◽  
Mission Planning ◽  
Planning Problem ◽  
B Spline ◽  
Aerial Vehicles ◽  
Third Stage ◽  
Multiple Unmanned Aerial Vehicles

In this paper, the cooperative multi-task online mission planning for multiple Unmanned Aerial Vehicles (UAVs) is studied. Firstly, the dynamics of unmanned aerial vehicles and the mission planning problem are studied. Secondly, a hierarchical mechanism is proposed to deal with the complex multi-UAV multi-task mission planning problem. In the first stage, the flight paths of UAVs are generated by the Dubins curve and B-spline mixed method, which are defined as “CBC)” curves, where “C” stands for circular arc and “B” stands for B-spline segment. In the second stage, the task assignment problem is solved as multi-base multi-traveling salesman problem, in which the “CBC” flight paths are used to estimate the trajectory costs. In the third stage, the flight trajectories of UAVs are generated by using Gaussian pseudospectral method (GPM). Thirdly, to improve the computational efficiency, the continuous and differential initial trajectories are generated based on the “CBC” flight paths. Finally, numerical simulations are presented to demonstrate the proposed approach, the designed initial solution search algorithm is compared with existing methods. These results indicate that the proposed hierarchical mission planning method can produce satisfactory mission planning results efficiently.

scholarly journals Robust linearization scheme by structural state feedback for a quadrotor

2021 ◽  
pp. 13-21
Author(s):  
Luis Ángel Blas-Sánchez ◽  
Margarita Galindo-Mentle ◽  
Adolfo Quiroz-Rodríguez ◽  
Marlon Licona-González
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Dynamic Model ◽  
Feedback Linearization ◽  
State Feedback ◽  
Circular Trajectory ◽  
Linearization Technique ◽  
Aerial Vehicles ◽  
State Observers ◽  
Control Scheme ◽  
Change Of Variable

In this work a feedback linearization technique is proposed, to carry it out to linearize the dynamic model of the quadrotor, a change of variable is introduced that maps the nonlinearities of the system into a nonlinear uncertainty signal contained in the domain of the action of control and is applied to the dynamic model of the quadrotor. To estimate the nonlinear uncertainty signal, the Beard-Jones filter is used, which is based on standard state observers. To verify the effectiveness of the proposed control scheme, experiments are carried out outdoors to follow a circular trajectory in the (x,y) plane. This presented control scheme is suitable for unmanned aerial vehicles where it is important to reject not only non-linearities but also to seek the simplicity and effectiveness of the control scheme for its implementation.

scholarly journals Cooperative Attack-Defense Decision-Making of Multi-UAV Using Satisficing Decision-Enhanced Wolf Pack Search Algorithm

2021 ◽  
Author(s):  
Tongle Zhou ◽  
Mou Chen ◽  
Yuhui Wang ◽  
Ronggang Zhu ◽  
Chenguang Yang
Keyword(s):  
Decision Making ◽  
Unmanned Aerial Vehicles ◽  
Decision Problem ◽  
Search Algorithm ◽  
Optimal Solution ◽  
Target Information ◽  
Aerial Vehicles ◽  
Air Combat ◽  
Simulation Results ◽  
Multi Uav

Abstract Unmanned Aerial Vehicles (UAVs) have shown their superiority for applications in complicated military missions. A cooperative attack-defense decision-making method based on satisficing decision-enhanced wolf pack search (SDEWPS) algorithm is developed for multi-UAV air combat in this paper. Firstly, the multi-UAV air combat mathematical model is provided and the attack-defense decision-making constraints are defined. Besides the traditional air combat situation, the capability of UAVs and target information including target type and target intention are all considered in this paper to establish the air combat superiority function. Then, the wolf pack search (WPS) algorithm is used to solve the attack decision problem. In order to improve efficiency, the satisficing decision theory is employed to enhance the WPS to obtain the satisficing solution rather than optimal solution. The simulation results show that the developed method can realize the cooperative attack decision-making.

scholarly journals Three-Dimensional Dynamic-Model-Aided Navigation of Multirotor Unmanned Aerial Vehicles

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 170715-170732 ◽  
Author(s):  
Nak Yong Ko ◽  
In Ho Choi ◽  
Gyeongsub Song ◽  
Wonkeun Youn
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Dynamic Model ◽  
Three Dimensional ◽  
Aerial Vehicles
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