Analysis for cooperative combat system of manned-unmanned aerial vehicles and combat simulation

Fan, Jieru; Li, Dongguang; Li, Rupeng; Yang, Tianyuan; Wang, Qixian

doi:10.1109/icus.2017.8278341

Cited by 9 publications

(2 citation statements)

References 1 publication

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“…It can also effectively reduce casualties, thereby it will be an important mode of aerial combat in the future [1], [2]. The core problem of manned/unmanned aerial vehicle cooperative combat is to realize real-time remotely piloting of UAV [3], [4]. This kind of real-time remotely piloting is quite different from the current reconnaissance aircrafts, such as the Global Hawk and the Predator.…”

Section: Introductionmentioning

confidence: 99%

Prediction-Based Adaptive Sliding Mode Control for Remotely Piloted System With Time Delay and Parameter Uncertainty

Fan

et al. 2019

IEEE Access

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This paper proposes a state prediction adaptive sliding mode (SPASM) control method for the remotely piloted system (RPS). With consideration of the time delay caused by the large transmission delay existing in the RPS, a prediction algorithm is proposed to provide the state prediction by using the state transition matrix. To approximate the uncertain lag of the remotely piloted vehicle (RPV) control augmentation system, an adaptive law is proposed to estimate the parameter uncertainties, and the overestimating problem is resolved efficiently. Meanwhile, to deal with the unmodeled dynamics and the predicted errors, a sliding mode controller is designed to guarantee the robustness of the whole closed-loop system. The simulation results show that the SPASM controller can not only guarantee the stability of the RPS in the presence of large time delay but also has a desirable performance of tracking the pilot's inputs while existing the unmodeled dynamics and parameter uncertainties.INDEX TERMS Remotely piloted system (RPS), remotely piloted vehicle (RPV), time delay, state prediction, adaptive sliding mode control.

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Section: Introductionmentioning

confidence: 99%

Prediction-Based Adaptive Sliding Mode Control for Remotely Piloted System With Time Delay and Parameter Uncertainty

Fan

et al. 2019

IEEE Access

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“…In the field of aeronautical communications, with the anticipated increase in the number of aircraft [1], the communication demands have shown exponential growth in numerous applications, such as air traffic control (ATC) for manned aircraft [2], communication and surveillance for unmanned aerial vehicles (UAVs) [3][4][5], and the cooperative systems of manned-unmanned aerial vehicles [6]. In all of these applications, a great mass of heterogeneous information with different criticality levels needs to be transmitted over the datalinks.…”

Section: Introductionmentioning

confidence: 99%

Network‐Assisted Optimal Datalink Selection Scheme for Heterogeneous Aeronautical Network

Wang

Huang

Dong

et al. 2018

Wireless Communications and Mobile Computing

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Currently, the existing datalink selection algorithms in heterogeneous aeronautical network unilaterally focus on the user side or network side and lack the two sides’ cooperation, which seriously affects the utilization of available datalinks. Firstly, to reflect the user-side requirements and network-side load, we propose a user-centric datalink selection scheme combing the user-side multiattribute utility and the network-side access rate for single-user selection. It can be established as a multiobjective optimization problem and solved by the selected optimal datalink. Secondly, for multiuser datalink selection, in order to guarantee the access requests of multiple users, the central control mode of Software Define Networking (SDN) is used to assist the user to perform datalink selection on the network side. By constructing multiuser multiobjective optimization problem, a priority distinction selection (PDS) algorithm is proposed to maximize the number of users accessing their optimal datalinks and minimize the modification of the users’ access request. Finally, the proposed user-side datalink selection scheme and network-side assisted selection algorithm are simulated to verify the feasibility and effectiveness.

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Modelling and Simulation Paradigms to Support Autonomous System Operationalization

Hodicky

Procházka

2020

Modelling and Simulation for Autonomous Systems

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Analysis for cooperative combat system of manned-unmanned aerial vehicles and combat simulation

Cited by 9 publications

References 1 publication

Prediction-Based Adaptive Sliding Mode Control for Remotely Piloted System With Time Delay and Parameter Uncertainty

Prediction-Based Adaptive Sliding Mode Control for Remotely Piloted System With Time Delay and Parameter Uncertainty

Network‐Assisted Optimal Datalink Selection Scheme for Heterogeneous Aeronautical Network

Modelling and Simulation Paradigms to Support Autonomous System Operationalization

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