Tactical Trajectory Planning for Stealth Unmanned Aerial Vehicle to Win the Radar Game

Liu, Hongfu; Chen, Shaofei; Chen, Jing

doi:10.14429/dsj.62.2686

Cited by 10 publications

(6 citation statements)

References 9 publications

(11 reference statements)

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“…The concept of defenders battle tactics orientates engagement of protected forces, to use simultaneous attacks on concentrated groups of suddenly-appeared targets, from the distance positions, in a rapid reaction manner. They can use smart weapon, with joint detection and engagement capabilities integrated on a single autonomous flight missile (hereafter AFM), referred in the earlier paper of Kalam 2 as new visions, and also in the last modern developed, tactical and technology integrated requirements, stated by Liu 3,4 , et al In these suppositions weapon performances offer new tactical forces capabilities and the basic deterministic Lanchester and mixed developed models, as the continual modelling approaches require to be modified. The basic idea of the research was to derive, check, and test a model where AFM missiles are the blue combatants of one side opposed to the enemy combatants distance concentrated as the small group of point targets.…”

Section: Nomenclaturementioning

confidence: 99%

Discrete Deterministic Modelling of Autonomous Missiles Salvos

Milinović

Petrović

Jeremić

et al. 2014

DSJ

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The paper deals with mathematical models of sequent salvos battle, of autonomous flight missiles (AFM) organized in the groups of combatants. Tactical integration of AFM system distance-controlled weapon is considered by performances of simultaneous approaches on targets, and continual battle models of guerilla and direct fire, are redesigned to the discrete-continual mixed model, for checking missiles sudden, and further salvos, attack effects. Superiority parameters, as well as losses and strengths of full, or the part of salvo battle, for the missiles groups as technology sub-systems combatants', is expressed by mathematical and simulation examples. Targets engagements capacities of the missiles battle unit, is conducted through designed scenarios and mathematically derived in the research. Model orientated on answers about employment of rapid reaction defending tactics, by distance missiles attacks.

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Section: Nomenclaturementioning

confidence: 99%

Discrete Deterministic Modelling of Autonomous Missiles Salvos

Milinović

Petrović

Jeremić

et al. 2014

DSJ

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“…The information for estimating fuel consumption (FC) is from practical flight experimentation. The fuel consumption can be calculated as [9]:…”

Section: T X Y T Y H T H H X T Y T H Tmentioning

confidence: 99%

Cooperative Trajectory Planning for Multi-UCAV Performing Air-to-Ground Target Attack Missions

Zhang

Chen

et al. 2013

AMR

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The problem of planning flight trajectories is studied for multiple unmanned combat aerial vehicles (UCAVs) performing a cooperated air-to-ground target attack (CA/GTA) mission. Several constraints including individual and cooperative constraints are modeled, and an objective function is constructed. Then, the cooperative trajectory planning problem is formulated as a cooperative trajectory optimal control problem (CTP-OCP). Moreover, in order to handle the temporal constraints, a notion of the virtual time based strategy is introduced. Afterwards, a planning algorithm based on the differential flatness theory and B-spline curves is developed to solve the CTP-OCP. Finally, the proposed approach is demonstrated using a typical CA/GTA mission scenario, and the simulation results show that the proposed approach is feasible and effective.

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“…Lastly, MATLAB's fmincon solver was used to obtain the optimum state and control values. Liu et al (2012) used the Gauss pseudospectral method (GPM) to find the optimal solution for reconnaissance missions of stealth UAVs. The authors investigated minimum fuel consumption, minimum flight time, and minimum probability of detection in separate cases.…”

Section: Introductionmentioning

confidence: 99%

Comparing Fuel-Optimal and Shortest Paths With Obstacle Avoidance

Cihan

2022

Aviation

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This paper presents a comparison of fuel-optimal and shortest paths of an unmanned combat aerial vehicle (UCAV) with obstacle avoidance. A nonlinear constrained optimization algorithm is applied to obtain the optimal paths. An initial value problem (IVP) and an inverse-dynamics approach are used separately to determine optimal paths for various scenarios and in order to reduce computation time. While inputs of the optimization algorithm are discrete control variables in the IVP method, discrete state variables are used as inputs in the inverse-dynamics method. The minimized path segments of the geometrical model provide an initial estimation of the heading angle for the aircraft flight mechanics model. The number of variables used by the optimization algorithm has a direct effect upon the optimal accuracy; however, the computation time is inversely proportional to the number of the variables. Simulation results demonstrate that the proposed IVP method effectively converges to optimal solutions.

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Tactical Trajectory Planning for Stealth Unmanned Aerial Vehicle to Win the Radar Game

Cited by 10 publications

References 9 publications

Discrete Deterministic Modelling of Autonomous Missiles Salvos

Discrete Deterministic Modelling of Autonomous Missiles Salvos

Cooperative Trajectory Planning for Multi-UCAV Performing Air-to-Ground Target Attack Missions

Comparing Fuel-Optimal and Shortest Paths With Obstacle Avoidance

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