Cooperative integrated guidance and control design for simultaneous interception

Sinha, Anupama; Kumar, Shashi Ranjan; Mukherjee, Dwaipayan

doi:10.1016/j.ast.2021.107262

Cited by 21 publications

(4 citation statements)

References 44 publications

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“…However, due to the fact that most of the above methods are based on the assumption that the velocities of UAVs are constants, the applicability of them is limited to some extent. For this reason, some researchers have managed to introduce the consistency theory into cooperative guidance [12,13] and divide the design of the guidance law into two stages [14]. The first stage is to design the acceleration command along the direction of the line of sight using the consistency theory, to ensure the consensus on the impact time.…”

Section: Introductionmentioning

confidence: 99%

Multi-UAV DMPC Cooperative Guidance with Constraints of Terminal Angle and Obstacle Avoidance

Jiang,

Yang,

Wang

et al. 2024

International Journal of Aerospace Engineering

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This paper studies the salvo attack problem for multiple unmanned aerial vehicles (UAVs) against a maneuvering target, and a guidance scheme based on distributed model predictive control (DMPC) is presented to achieve cooperative interception with constraints of terminal impact angle and no-fly zone (or obstacle) avoidance. Firstly, for guaranteeing the synchronization of UAVs in calculating their acceleration commands, the assumed predictive trajectories are introduced, whose deviation from the actual state trajectories is limited by the designed compatibility constraints. Secondly, based on the velocity-obstacle model, the obstacle avoidance constraints are presented, and for guaranteeing the convergence of impact time and impact angles, the auxiliary controller and terminal ingredients are developed, which complete the design of DMPC cooperative guidance scheme. Subsequently, the rigorous proof for the convergence of the proposed guidance scheme is provided. Based on the above design, a complete implementation process of the guidance scheme is presented, in which each UAV uses the particle swarm optimization algorithm to solve the preprocessed local optimization problem, and only the shared information among neighbors is utilized for calculation. Finally, the numerical simulations are conducted under diverse cases, which demonstrate the effectiveness of the proposed guidance scheme when solving cooperative interception problems with terminal angle and obstacle avoidance constraints.

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Section: Introductionmentioning

confidence: 99%

Multi-UAV DMPC Cooperative Guidance with Constraints of Terminal Angle and Obstacle Avoidance

Jiang,

Yang,

Wang

et al. 2024

International Journal of Aerospace Engineering

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“…An optimal guidance law was proposed in Chen and Wang (2019) and both impact time and impact angle requirements were achieved under small heading error approximation. The restrictive assumption of missiles’ small heading angles was relaxed in Sinha et al (2022) and the sliding mode control method was adopted to nullify the impact time error. Different from individual homing methods, cooperative guidance approaches do not need to determine a common impact time in advance.…”

Section: Introductionmentioning

confidence: 99%

“…To handle this issue, the backstepping method can be adopted to separately design the virtual control and the actual guidance command (Sinha et al, 2021a; Song and Song, 2019). Another effective method is the integrated guidance framework which can fully exploit the synergism between guidance and control subsystems (He and Lin, 2015; Iftisam et al, 2022; Sinha et al, 2022). From the perspective of practical application, great efforts have been devoted to coping with the uncertainties which extensively exist in real systems, such as modeling errors and external disturbances.…”

Section: Introductionmentioning

confidence: 99%

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An event-triggered distributed cooperative guidance law for simultaneous attack with autopilot lag consideration

Zhai

Yang

2023

Transactions of the Institute of Measurement and Control

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This article proposes an event-triggered distributed cooperative guidance law for multiple missiles to simultaneously attack a stationary target with consideration of autopilot lag and unknown disturbances. In order to achieve a consensus on each missile’s impact time and save communication costs, the guidance law is designed on the basis of an auxiliary variable consisting of the time-to-go expression and its time derivative. Driven by the properly designed event-triggered mechanism, the information interaction among missiles performs in a need-based scheme and there is no need to continuously monitor the consensus errors between neighbor missiles. By this means, the communication burden is significantly reduced while satisfactory guidance performance is still guaranteed. The proposed guidance law can be extended to a communication failure case where one of the missiles suddenly cannot receive information from its neighbors. An integral sliding mode controller is integrated with the nominal guidance law to eliminate the adverse effects caused by unknown disturbances. Numerical simulations are carried out to illustrate the effectiveness of the proposed guidance design.

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Three-dimensional approximate cooperative integrated guidance and control with fixed-impact time and azimuth constraints

Li,

Zhang,

Zhang

et al. 2023

Aerospace Science and Technology

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Cooperative integrated guidance and control design for simultaneous interception

Cited by 21 publications

References 44 publications

Multi-UAV DMPC Cooperative Guidance with Constraints of Terminal Angle and Obstacle Avoidance

Multi-UAV DMPC Cooperative Guidance with Constraints of Terminal Angle and Obstacle Avoidance

An event-triggered distributed cooperative guidance law for simultaneous attack with autopilot lag consideration

Three-dimensional approximate cooperative integrated guidance and control with fixed-impact time and azimuth constraints

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