Article
Engineering, Electrical & Electronic
Lin Chen, Haibin Duan, Zhigang Zeng
Summary: This brief investigates a method for target tracking control of unmanned aerial vehicles (UAVs) in a group. First, a neighbor selection mechanism is introduced to design a target state observer, ensuring fast access to target information for uninformed UAVs. Then, a distributed tracking control protocol based on estimated target information is proposed for dynamic target tracking. Proofs of informed-to-uninformed reachability and group convergence are provided. Comparative simulations are conducted to validate the effectiveness of the proposed algorithm.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Engineering, Mechanical
Peng Cheng, Chenxiao Cai, Poogyeon Park
Summary: This work presents a distributed fractional-order fault-tolerant control (FTC) paradigm for multiple unmanned aerial vehicles (UAVs) subject to full-state constraints. The proposed mechanism uses neural networks to handle uncertainties arising from unknown nonlinear dynamics. By combining speed functions with nonlinear state-dependent functions, the control protocol establishes a novel distributed FTC approach. The introduction of fractional-order calculus provides additional control parameter adjustment, and an event-triggered mechanism reduces the control signal update frequency. Case studies are conducted to demonstrate the effectiveness of the proposed methodology.
NONLINEAR DYNAMICS
(2023)
Article
Automation & Control Systems
Yi Huang, Ziyang Meng
Summary: This article studies the bearing-based distributed formation control problem of a group of vertical take-off and landing unmanned aerial vehicles subject to unknown disturbances. Two distributed formation control algorithms are developed based on a hierarchical framework. A unified adaptive hybrid attitude control law and three auxiliary systems are designed to achieve the target formation maneuver.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2021)
Article
Remote Sensing
Mahyar Nemati, Bassel Al Homssi, Sivaram Krishnan, Jihong Park, Seng W. Loke, Jinho Choi
Summary: This paper discusses the significance and applications of UAV networks in non-terrestrial networks (NTNs), particularly focusing on the existing and emerging uses of flying ad hoc networks (FANET) composed of UAVs. It also examines various routing protocols based on cross-layer modeling and highlights the importance of viewing UAV networks as delay-tolerant networks (DTN) due to the intermittent connectivity in low-density FANETs.
Article
Computer Science, Artificial Intelligence
Yeongho Song, Seunghan Lim, Hyunsam Myung, Hokeun Lee, Junho Jeong, Heungsik Lim, Hyondong Oh
Summary: This paper proposes a distributed swarm system for small fixed-wing unmanned aerial vehicles (UAVs), which uses a hybrid-flocking control algorithm synthesized from three types of control protocols for path following, collective flocking behavior, and collision avoidance. The adaptive ACS model is introduced to address conflicts between different control protocols and determine suitable control protocol weights. The system includes multiple operation modes and a communication architecture. Real flight experiments and numerical simulations demonstrate the effectiveness of the hybrid-flocking control algorithm in avoiding collisions and performing various tasks.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Mohammed Jouhari, Abdulla Khalid Al-Ali, Emna Baccour, Amr Mohamed, Aiman Erbad, Mohsen Guizani, Mounir Hamdi
Summary: The article proposes a method for distributing DNNs within UAVs to enable data classification on resource-constrained devices, and avoid delays introduced by server-based solutions. The simulation results showed that the optimization solution outperformed existing approaches.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Automation & Control Systems
Weizhen Wang, Xin Chen, Jiangbo Jia, Zaifei Fu
Summary: This paper focuses on the problem of localization and encirclement control of a moving target by multiple unmanned aerial vehicles (UAVs). A distributed control algorithm based on cooperative moving path following (CMPF) is proposed to guide the UAVs to form evenly spaced formations along the circumference and track the movement of the target. The simulation results demonstrate the effectiveness of the proposed method.
IET CONTROL THEORY AND APPLICATIONS
(2022)
Article
Automation & Control Systems
Kunrui Ze, Wei Wang, Kexin Liu, Jinhu Lu
Summary: This article presents a novel method for optimization-based obstacle avoidance and distributed regular polygon time-varying formation control for multiple unmanned aerial vehicle systems (UAVs) in clutter environment. The method involves a leader-following structure with a directed communication graph, real-time trajectory planning for the leader UAV, and an optimization-based safe trajectory and formation size online planning algorithm. The method also includes distributed smooth adaptive filters to estimate the safe trajectory and formation size, as well as a geometric tracking controller for each UAV. Experimental results demonstrate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Lin-Xing Xu, Yu-Long Wang, Xiaofan Wang, Chen Peng
Summary: This article presents a distributed active disturbance rejection formation tracking control strategy for a quadrotor unmanned aerial vehicle swarm system with switching communication topologies. The strategy consists of attitude-loop control and position-loop control, ensuring stability of the entire swarm system and accurate trajectory tracking. The effectiveness and disturbance suppression capability of the proposed control strategy are validated through application to a quadrotor UAV swarm system.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Yang Xu, Weiming Zheng, Delin Luo, Haibin Duan
Summary: This paper focuses on the solution to the dynamic affine formation control problem for multiple networked under-actuated quad-rotor unmanned aerial vehicles (UAVs). By integrating the properties of the affine transformation and the stress matrix, a target formation design applicable for various three-dimensional geometric patterns is proposed. A distributed control method is introduced under a hierarchical framework, which enables linear velocity tracking, attitude control, and collision avoidance.
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
(2022)
Article
Engineering, Civil
Shumaila Javaid, Nasir Saeed, Zakria Qadir, Hamza Fahim, Bin He, Houbing Song, Muhammad Bilal
Summary: The recent progress in UAV technology has greatly advanced their applications in military, civil, and commercial domains. However, challenges in high-speed communication, flexible control strategies, and efficient collaborative decision-making algorithms limit their autonomy, robustness, and reliability. This article provides a comprehensive review of collaborative communication in multi-UAV systems, discussing the characteristics of intelligent UAVs and their communication and control requirements. It also reviews various UAV collaboration tasks and presents use case scenarios to highlight the current developments of UAV-based applications.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Wael Jaafar, Halim Yanikomeroglu
Summary: The article discusses methods to prolong UAV-based missions using low-power laser charging, accurate estimation of UAV energy consumption, and optimization of path planning through a battery perspective. By leveraging graph theory and electrical models, the efficiency of the novel battery perspective in all path planning approaches is demonstrated.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Artificial Intelligence
Yajing Yu, Jian Guo, Choon Ki Ahn, Zhengrong Xiang
Summary: This paper investigates the problem of neural adaptive distributed formation control for quadrotor multiple UAVs subject to unmodeled dynamics and disturbance. By dividing the quadrotor UAV system into position and attitude subsystems, a virtual position controller and a neural adaptive sliding mode controller are designed to achieve formation flight for multi-UAVs.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Xiao Liang, Zhuang Zhang, Hai Yu, Yang Wang, Yongchun Fang, Jianda Han
Summary: This article focuses on the cooperative control of aerial transportation systems with dual quadrotors. A redundant form of the dynamic model is constructed based on Lagrange's method, effectively decoupling the control inputs and system dynamics. Inner loop and outer loop subsystems are defined based on the cascade characteristics of the system, and a nonlinear hierarchical controller with relative position constraints and cable tensions compensation is proposed. Experimental results demonstrate satisfactory control performance of the controller.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Computer Science, Artificial Intelligence
Qasem Abu Al-Haija, Ahmad Al Badawi
Summary: Unmanned Aerial Vehicles (UAVs) face various cyber-intrusions and threats in their communication networks. This paper proposes an autonomous intrusion detection system that uses deep convolutional neural networks to efficiently detect malicious threats invading UAVs. Experimental results show that the system achieves high accuracy and quick prediction time, outperforming other intrusion detection systems.
NEURAL COMPUTING & APPLICATIONS
(2022)
