Cooperative control of multi‐missile systems

Wang, Yongji; Dong, Shuai; Ou, Liuli; Liu, Lei

doi:10.1049/iet-cta.2014.0361

Cited by 48 publications

(10 citation statements)

References 31 publications

(46 reference statements)

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“…A formation or cooperative design of UAVs can be used as reliable radars or reconnaissance tools to detect enemy troops and ballistic missiles [39,40]. The integration of the UAVs radars will help to identify incursion objects or observe ground activities of an adversary [41,42]. Ahmadzadeh et al introduced a cooperative strategy to enable a heterogeneous team of UAVs to gather information for situational awareness [43].…”

Section: Reconnaissance Strategymentioning

confidence: 99%

Control of Cooperative Unmanned Aerial Vehicles: Review of Applications, Challenges, and Algorithms

Sargolzaei¹,

Abbaspour²,

Crane³

2019

Preprint

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A system of cooperative unmanned aerial vehicles (UAVs) is a group of agents interacting with each other and the surrounding environment to achieve a specific task. In contrast with a single UAV, UAV swarms are expected to benefit efficiency, flexibility, accuracy, robustness, and reliability. However, the provision of external communications potentially exposes them to an additional layer of faults, failures, uncertainties, and cyber-attacks and can contribute to the propagation of error from one component to other components in a network. Also, other challenges such as complex nonlinear dynamic of UAVs, collision avoidance, velocity matching, and cohesion should be addressed adequately. Main applications of cooperative UAVs are border patrol; search and rescue; surveillance; mapping; military. Challenges to be addressed in decision and control in cooperative systems may include the complex nonlinear dynamic of UAVs, collision avoidance, velocity matching, and cohesion. In this paper, emerging topics in the field of cooperative UAVs control and their associated practical approaches are reviewed.

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Section: Reconnaissance Strategymentioning

confidence: 99%

Control of Cooperative Unmanned Aerial Vehicles: Review of Applications, Challenges, and Algorithms

Sargolzaei¹,

Abbaspour²,

Crane³

2019

Preprint

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“…Zhou et al 8 considered the leader-follower network and verified its effectiveness. Moreover, the studies in the literature [9][10][11] transformed missile kinematics equations into a quasi-double integrator model and relaxed the initial conditions of proportional guidance law.…”

Section: Introductionmentioning

confidence: 99%

On 3D simultaneous attack against manoeuvring target with communication delays

Liu

Zhou

et al. 2020

International Journal of Advanced Robotic Systems

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This article investigates the simultaneous attack problem of multiple missiles against a manoeuvring target with delayed information transmission in three-dimensional space. Based on the kinetic model of the missiles, the problem is divided into three demands: the velocity components normal to line-of-sight converge to zero in finite time, the component of motion states along line-of-sight should achieve consensus and converge to zero. The guidance law is designed for each demand and by theoretical proof, the upper bound of delay which can tolerate is presented and the consensus error of the relative distances can converge to a small neighbourhood of zero. And simulation example presented also demonstrates the validity of the theoretical result.

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“…Global information is not needed in distributed cooperative guidance, so this method is more natural to implement in engineering. Wang et al [10] proposed a two-stage control strategy. In the first step, a distributed time cooperative guidance law is designed by the second-order consensus theory.…”

Section: Introductionmentioning

confidence: 99%

Impact Angle Constrained Distributed Cooperative Guidance Against Maneuvering Targets With Undirected Communication Topologies

Dong

Zhang

2020

IEEE Access

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The problem of impact angle constrained distributed cooperative guidance against maneuvering targets with undirected communication topologies is studied. A novel distributed cooperative guidance strategy is proposed to realize simultaneous attack with impact angle constraint. Firstly, the kinematic equations for the engagement are established. According to the engagement equations, the cooperative guidance problem is divided into two units, which include the cooperation of both impact time and impact angle. Secondly, the guidance algorithm is designed separately for simultaneous attack and dealing with the impact angle constraints. The problem is transformed into a consensus problem via disturbance compensation and feedback linearization technique. The convergence of the guidance algorithm is proven by using the consensus theory. Finally, numerical simulations are presented to verify the effectiveness of the proposed cooperative guidance law. INDEX TERMS Maneuvering targets, Distributed cooperative guidance law, Extended state observer, Multiple unmanned aerial vehicles.

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Cooperative control of multi‐missile systems

Cited by 48 publications

References 31 publications

Control of Cooperative Unmanned Aerial Vehicles: Review of Applications, Challenges, and Algorithms

Control of Cooperative Unmanned Aerial Vehicles: Review of Applications, Challenges, and Algorithms

On 3D simultaneous attack against manoeuvring target with communication delays

Impact Angle Constrained Distributed Cooperative Guidance Against Maneuvering Targets With Undirected Communication Topologies

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