Adaptive distributed formation maintenance for multiple UAVs: Exploiting proximity behavior observations

Liu, Wei-heng; Xin, Zheng; Deng, Zhihong

doi:10.1007/s11771-021-4645-6

Cited by 6 publications

(1 citation statement)

References 29 publications

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“…Zhang et al [23] designed a nonlinear optimal controller for missile cooperative attack formation by solving Riccati matrix differential equation. The formation maintenance of multiple unmanned aerial vehicles based on proximity behavior was explored in [24]. Individual decision-making was conducted according to the expected UAV formation structure and the position, velocity, and attitude information of other UAVs in the azimuth area.…”

Section: Introductionmentioning

confidence: 99%

A Robust Adaptive Control Algorithm for Multimissile Cooperative Formation

Gong

Wang

et al. 2022

International Journal of Aerospace Engineering

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To improve the probability of missile coordinated detection, this paper investigates the control method of multimissile cooperative formation. Based on the missile’s nonlinear dynamics modeling, the formation control algorithm based on the position of the leader missile (or virtual leader missile) is studied. Meanwhile, considering the influence of the communication time delay, a robust adaptive cooperative controller satisfying the time delay network is designed. The simulation verification result indicates that cooperative formation can be achieved quickly with small velocity and position tracking errors when the missiles are fully connected. Therefore, the multimissile cooperative formation control algorithm designed in this paper can meet the requirements of multimissile coordinated detection, thus improving the missile’s cooperative attack capability.

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Section: Introductionmentioning

confidence: 99%