Dynamic event‐triggered cooperative formation control for UAVs subject to time‐varying disturbances

Lili, Walim; Li, Tao

doi:10.1049/iet-cta.2020.0342

Cited by 34 publications

(23 citation statements)

References 46 publications

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“…One study [27] designs a predictive model using the eventtriggered method for the control of multiple UAVs. In the proposed model, UAVs can only share information with their neighbors and the event trigger phenomenon helps lessen the computational stress on the algorithm.…”

Section: State Of the Artmentioning

confidence: 99%

A Leader‐Follower Formation Control of Multi‐UAVs via an Adaptive Hybrid Controller

et al. 2021

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The purpose of this study is to offer an adaptive hybrid controller for the formation control of multiple unmanned aerial vehicles (UAVs) leader-follower configurations with communication delay. Although numerous studies about the control of the formation exist, very few incorporate the delay in their model and are adaptive as well. The motivation behind this article is to bridge that gap. The strategy consists of an adaptive fuzzy logic controller and a Proportional, Integral, and Derivative (PID) controller where the logic controller fines/tunes the PID controller gains. The controller also consists of an integrator that raises the order of the system which helps reduce the noise and steady-state errors. The simulations confirm that the proposed technique is robust and satisfies mission requirements. Moreover, the flying formations of the swarm were created by a B-spline curve based on a simple waypoint. The main contribution of this study is to present a model where the formation remains stable during the whole flight, errors are within the optimal range, and the time delays are manageable.

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Section: State Of the Artmentioning

confidence: 99%

A Leader‐Follower Formation Control of Multi‐UAVs via an Adaptive Hybrid Controller

et al. 2021

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“…In the simulation, we construct a multi-UAV system composed of four UAVs and a virtual leader described by Equation (1). As stated in Remark 1, each UAV in the multi-UAV system is deemed as a particle, and only the trajectory-loop control of UAV i is studied to achieve the expected formation tracking control for the multi-UAV systems [2,54].…”

Section: Simulation Examplementioning

confidence: 99%

“…Nevertheless, the ETM is not utilized to alleviate the communication burden [53]. A novel formation control law based on ETM is proposed in [54]; however, the deception attack is not considered in the proposed strategy. In addition, only time-invariant formations are realized in [54].…”

Section: Introductionmentioning

confidence: 99%

“…A novel formation control law based on ETM is proposed in [54]; however, the deception attack is not considered in the proposed strategy. In addition, only time-invariant formations are realized in [54]. Therefore, the time-varying formation tracking (TVFT) control problem based on ETM for multi-UAV systems subjected to deception attacks needs more investigation.…”

Section: Introductionmentioning

confidence: 99%

“…Compared with the event-triggered mechanism in Ref. [54], time delay is taken into consideration, which makes the designed ETM more reasonable and realistic. The presence of time delay brings a large challenge to the theoretical analysis and finding a feasible solution by LMI since the Lyapunov function is more complicated, compared to the one in [54].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Event-Triggered Formation Tracking Control for Unmanned Aerial Vehicles Subjected to Deception Attacks

Biao

Xiong

2021

Electronics

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This study investigates the time-varying formation tracking (TVFT) control problem for multiple unmanned aerial vehicle (multi-UAV) systems under deception attacks by utilizing an event-triggered mechanism (ETM). First, for the sake of alleviating the communication burden, an effective ETM is designed in this paper. Second, to deal with deception attacks in the communication network, a random deception attack model under the designed ETM is constructed. Finally, a novel formation tracking control scheme for multi-UAV systems under deception attack combining the ETM is proposed to achieve the expected TVFT. The stability analysis of the formation control system is given by using the Lyapunov stability theory and linear matrix inequality (LMI) technique. Simulations are conducted to verify the effectiveness of the proposed formation control scheme.

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Adaptive longitudinal control for multivehicle cooperative systems with actuator saturation under road bumps

Yang

Wang

et al. 2022

Intl J Robust & Nonlinear

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In this article, an adaptive longitudinal control strategy is proposed for a multivehicle cooperative system with actuator saturation. The multivehicle cooperative system is modeled as a longitudinal system. Uncertain disturbances caused by road bumps during vehicle driving are estimated by an adaptive extended state observer based on Silverman canonical transformation and pole placement.An adaptive integral sliding mode control algorithm is designed to accomplish adaptive longitudinal control and handle actuator saturation. With Lyapunov criterion, stability is presented for the multivehicle cooperative system with the adaptive longitudinal control strategy. Simulation results are given to show effectiveness of the adaptive extended state observer and the adaptive integral sliding mode control algorithm.

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Dynamic event‐triggered cooperative formation control for UAVs subject to time‐varying disturbances

Cited by 34 publications

References 46 publications

A Leader‐Follower Formation Control of Multi‐UAVs via an Adaptive Hybrid Controller

A Leader‐Follower Formation Control of Multi‐UAVs via an Adaptive Hybrid Controller

Event-Triggered Formation Tracking Control for Unmanned Aerial Vehicles Subjected to Deception Attacks

Adaptive longitudinal control for multivehicle cooperative systems with actuator saturation under road bumps

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