Refined fault tolerant tracking control of fixed-wing UAVs via fractional calculus and interval type-2 fuzzy neural network under event-triggered communication

Yu, Ziquan; Yang, Zhongyu; Sun, Peng; Zhang, Youmin; Jiang, Bin; Su, Chun‐Yi

doi:10.1016/j.ins.2023.119276

Cited by 13 publications

(4 citation statements)

References 49 publications

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“…The authors in [29] proposed a robust formation tracking problem for a heterogeneous multi-robot system with FOC, consisting of UAVs and unmanned surface vehicles (USVs), to handle multiple disturbances. In [30], a refined fault-tolerant tracking control of fixed-wing UAVs based on FOC paired with an interval type-2 fuzzy neural network under event-triggered communication was developed to decrease communication overloads. The authors in [31] proposed a robust discrete-time FOC for UAV systems using the backstepping control technique to guarantee the stability of the closedloop system.…”

Section: Modeling and Control Of Uavsmentioning

confidence: 99%

Surrogate Optimal Fractional Control for Constrained Operational Service of UAV Systems

Moness,

Abdelghany,

Mohammed

et al. 2024

Drones

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In the expeditiously evolving discipline of autonomous aerial robotics, the efficiency and precision of drone control deliveries have become predominant. Different control strategies for UAV systems have been thoroughly investigated, yet PID controllers still receive significant consideration at various levels in the control loop. Although fractional-order PID controllers (FOPID) have greater flexibility than integer-order PID (IOPID) controllers, they are approached with caution and hesitance. This is due to the fact that FOPID controllers are more computationally intensive to tune, as well as being more challenging to implement accurately in real time. In this paper, we address this problem by developing and implementing a surrogate-based analysis and optimization (SBAO) of a relatively high-order approximation of FOPID controllers. The proposed approach was verified through two case studies; a simulation quadrotor benchmark model for waypoint navigation, and a real-time twin-rotor copter system. The obtained results validated and favored the SBAO approach over other classical heuristic methods for IOPID and FOPID.

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Section: Modeling and Control Of Uavsmentioning

confidence: 99%

Surrogate Optimal Fractional Control for Constrained Operational Service of UAV Systems

Moness,

Abdelghany,

Mohammed

et al. 2024

Drones

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“…The inherent bandwidth limitations of communication networks result in adverse network phenomena during information transmission between adjacent UAVs, for instance packet dropouts and communication delays. As a consequence, different event-triggered mechanisms (ETMs) have been studied and put forward to reduce communication burden among members in a fixed-wing UAV swarm [13,25]. In [26], a static ETM has been designed to reduce the data transmission rates of control signals and to save on communication network resources in six-degreeof-freedom UAVs.…”

Section: Introductionmentioning

confidence: 99%

“…A distributed adaptive ETM has been implemented to enhance the efficiency of data transmission for each fixed-wing UAV [13]. In particular, the design of formation of flying controllers for continuous-time systems containing an ETM, Zeno behavior must be considered in order to guarantee a positive lower bound between two consecutive triggering moments [25,28,29]. In addition, zeroorder holders (ZOHs) are often employed to maintain the information between two adjacent triggering moments [25,30].…”

Section: Introductionmentioning

confidence: 99%

“…In particular, the design of formation of flying controllers for continuous-time systems containing an ETM, Zeno behavior must be considered in order to guarantee a positive lower bound between two consecutive triggering moments [25,28,29]. In addition, zeroorder holders (ZOHs) are often employed to maintain the information between two adjacent triggering moments [25,30]. Significantly, although the event-triggered control reduces the burden of communication networks, the control accuracy of the studied system is inevitably not compromised, which implies that ETM cannot easily be applied to hard real-time systems such as high maneuverable fixed-wing UAVs [27].…”

Section: Introductionmentioning

confidence: 99%

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Distributed Finite-Time ESO-Based Consensus Control for Multiple Fixed-Wing UAVs Subjected to External Disturbances

Yu,

Chen,

Zheng

et al. 2024

Drones

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This paper puts forward a coordinated formation control scheme for multiple fixed-wing unmanned aerial vehicle (UAV) systems with external nonlinear disturbances including not only the drag force and uncertain lateral force, but also the drag, lift, and lateral forces caused by wake vortices. A novel distributed finite-time extended state observer is designed to estimate both the unmeasurable states and uncertain external nonlinear disturbances of each fixed-wing UAV. In particular, an event-triggered mechanism is employed to reduce the burden of communication networks among multiple fixed-wing UAVs. Meanwhile, an inter-trigger output predictor, replacing the classic zero-order holder, is adopted to obtain cooperative errors between two consecutive triggering moments. Furthermore, a composite distributed controller is proposed to mitigate uncertain disturbances, enabling the coordinated formation flying of multiple fixed-wing UAVs.Finally, two illustrative simulation scenarios are discussed to verify the performance of the presented coordinated formation control scheme.

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A Resilient Event‐Triggered Control Scheme for Nonlinear Multi‐Agent Systems Under Communication Delays and Denial‐Of‐Service Attacks

Fu,

Yang,

et al. 2024

Intl J Robust & Nonlinear

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This paper investigates the resilient event‐triggered control (ETC) for nonlinear multi‐agent systems in the presence of communication delays and denial‐of‐service (DoS) attacks. The communication delays and asynchronous DoS attack are considered for each communication link. Based on sampling‐receiving events and DoS attack events, flow and jump sets are formulated to describe the system's transmission time status. An independent event‐triggering mechanism (ETM) is designed for each communication link. Furthermore, a resilient control scheme is constructed in which sufficient conditions for achieving system input‐output stability are provided, including the constraints of frequency and DoS attack duration, the conditions of Lyapunov functions, and the maximally allowable transmission interval. Finally, the attitude cooperative control problem of multiple unmanned aerial vehicles (multi‐UAVs) is adopted as a simulation example. The simulation results show the effectiveness of the proposed scheme.

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Refined fault tolerant tracking control of fixed-wing UAVs via fractional calculus and interval type-2 fuzzy neural network under event-triggered communication

Cited by 13 publications

References 49 publications

Surrogate Optimal Fractional Control for Constrained Operational Service of UAV Systems

Surrogate Optimal Fractional Control for Constrained Operational Service of UAV Systems

Distributed Finite-Time ESO-Based Consensus Control for Multiple Fixed-Wing UAVs Subjected to External Disturbances

A Resilient Event‐Triggered Control Scheme for Nonlinear Multi‐Agent Systems Under Communication Delays and Denial‐Of‐Service Attacks

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