Distributed Analytical Formation Control and Cooperative Guidance for Gliding Vehicles

Jia, Shengwei; Wang, Xiao; Li, Fugui; Wang, Yulin

doi:10.1155/2020/8826968

Cited by 12 publications

(9 citation statements)

References 41 publications

(63 reference statements)

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“…Ref. [31] has analyzed that the velocity change rate is close to a constant value in the quasi-equilibrium gliding segment for a vehicle with a large lift-to-drag ratio; the result was verified by simulation as well. The study in ref.…”

Section: Analytical Steady Gliding Path Modelmentioning

confidence: 83%

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An Analytical Reentry Solution Based Online Time-Coordinated A* Path Planning Method for Hypersonic Gliding Vehicles Considering No-Fly-Zone Constraint

Xie,

Wei,

Cui

et al. 2024

Aerospace

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To meet the time-coordinated requirement of hypersonic gliding vehicles to reach a single target simultaneously in the presence of no-fly-zone constraints, this paper proposes a time-coordinated A* path planning method considering multiple constraints. The path planning method is designed based on an analytical steady gliding path model and the framework of the A* algorithm. Firstly, an analytical steady gliding path model is designed based on a quadratic function-type altitude-velocity profile. It can derive the control commands explicitly according to the desired terminal altitude and velocity, thus establishing a mapping between the terminal states and the control commands. Secondly, the node extension method of the A* algorithm is improved based on the mapping. Taking the terminal states as new design variables, a feasible path-node set is produced by a one-step integration using the control commands derived according to different terminal states. This node extension method ensures the feasibility of the path nodes while satisfying terminal constraints. Next, the path evaluation function of the A* algorithm is modified by introducing a heuristic switching term to select the most proper node as a waypoint, aiming to minimize the arrival time deviation. Meanwhile, introducing the penalty items into the path evaluation function satisfies the no-fly-zone constraints, process constraints, and control variable constraints. Finally, an online time-coordinated method is proposed to determine a commonly desired arrival time for several hypersonic gliding vehicles. It eliminates the need to specify the arrival time in advance and improves the capability to deal with sudden threats, increasing the path planning method’s online application capability. The proposed method can achieve online time-coordinated multi-constraint path planning for several hypersonic gliding vehicles, whose effectiveness and superiority are verified by simulations.

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Section: Analytical Steady Gliding Path Modelmentioning

confidence: 83%

“…The study in ref. [31] demonstrates the feasibility of Criterion 2. The uniform deceleration condition can be described as:…”

Section: Analytical Steady Gliding Path Modelmentioning

confidence: 88%

An Analytical Reentry Solution Based Online Time-Coordinated A* Path Planning Method for Hypersonic Gliding Vehicles Considering No-Fly-Zone Constraint

Xie,

Wei,

Cui

et al. 2024

Aerospace

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show abstract

“…Therefore, it is significant to investigate a cooperative guidance strategy to improve the penetration probability and combat effectiveness of HGVs. 2 Generally, cooperative guidance aims to dispatch multiple vehicles to attack a specific target at the same time. In order to accomplish this, various different methods have been proposed during the past few years.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the existing methods developed with ideal simplifications and assumptions are no longer able to fully address cooperative guidance problems of HGVs, especially cannot obtain an optimal solution. (2) The kinetic energy at the time of impact is an important factor to evaluate the effectiveness of an attack by an HGV. Hence, it is desired that an optimal guidance can maximize the impact velocity.…”

Section: Introductionmentioning

confidence: 99%

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Cooperative optimal guidance of hypersonic glide vehicles by real-time optimization and deep learning

Liu

He³

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part G:

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This paper investigates the cooperative optimal guidance of hypersonic glide vehicles (HGVs) in the terminal phase with consideration on time-varying velocity, aerodynamic forces, and practical constraints. The cooperative optimal guidance problem is formulated as an optimal control problem with time as the independent variable, which brings great convenience in controlling the impact time. We propose proper convexification techniques to convexify this problem and apply successive convex optimization to get the solution of the original problem. To achieve cooperative guidance of multiple HGVs with time coordination constraint, a deep learning–based approach is proposed to find an optimal common impact time assigned to all the HGVs. The training samples required by deep learning are obtained by convex optimization. An algorithm is then presented to summarize the cooperative optimal guidance strategy. In each guidance loop, the common impact time is updated according to mission conditions, and the guidance commands are generated by the successive solution procedure in real time. Numerical examples will be provided to demonstrate that the proposed cooperative optimal guidance algorithm is effective and efficient, and it can achieve better performance than a popular cooperative proportional navigation guidance law.

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Formation Control Method of High Speed Aircraft Considering Natural Velocity Attenuation

Li,

Zhang,

Jiang

et al. 2024

Lecture Notes in Electrical Engineering

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Distributed Analytical Formation Control and Cooperative Guidance for Gliding Vehicles

Cited by 12 publications

References 41 publications

An Analytical Reentry Solution Based Online Time-Coordinated A* Path Planning Method for Hypersonic Gliding Vehicles Considering No-Fly-Zone Constraint

An Analytical Reentry Solution Based Online Time-Coordinated A* Path Planning Method for Hypersonic Gliding Vehicles Considering No-Fly-Zone Constraint

Cooperative optimal guidance of hypersonic glide vehicles by real-time optimization and deep learning

Formation Control Method of High Speed Aircraft Considering Natural Velocity Attenuation

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