Cooperative Strategies for Optimal Aircraft Defense from an Attacking Missile

García, Eloy; Casbeer, David W.; Pachter, Meir

doi:10.2514/1.g001083

Cited by 102 publications

(35 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the pure-pursuit guidance law, an enhanced guidance law is proposed to guide a UAV swarm to form a specific formation and intercept a moving target. In previous studies, the target is usually assumed to be in a state of uniform rectilinear motion [16][29] [ 32 ]. However, in our study, the target is allowed to be in a state of variable-velocity curvilinear motion.…”

Section: Introductionmentioning

confidence: 99%

An Optimal Guidance Strategy for Moving-Target Interception by a Multirotor Unmanned Aerial Vehicle Swarm

et al. 2020

View full text Add to dashboard Cite

To solve the problem of intercepting a moving target by a multirotor unmanned aerial vehicle (UAV) swarm, an optimal guidance strategy is proposed. The proposed guidance law is based on the integration of the classic pure pursuit guidance law and Kuhn-Munkres (KM) optimal matching algorithm, and virtual force potential functions are used to avoid collision. The proposed optimal guidance strategy is demonstrated by simulation experiments. The simulation results indicate that with the proposed optimal guidance strategy, a UAV swarm can intercept a moving target while maintaining the predetermined formation, and during the formation flight, the collisions between UAVs or the target can be avoided. Through a comparative experiment, the proposed optimal matching algorithm is proven to significantly reduce the average per-sampling-period total flight distance of all the UAVs and accelerate the interception process, and the formation completion degree is improved. INDEX TERMS Optimal matching; Unmanned aerial vehicles; Pursuit algorithms; Three-dimensional guidance law; Target interception; Collision avoidance. Xi WANG received his B.E. degree in electrical engineering in 2011 and MA.Eng. degree in control science and engineering in 2014, from Hunan University of Science and Technology. He is currently a doctoral student in the School of Automation, Central South University, China. His research areas are unmanned aerial vehicles, swarm intelligence, and related applications.

show abstract

Section: Introductionmentioning

confidence: 99%

An Optimal Guidance Strategy for Moving-Target Interception by a Multirotor Unmanned Aerial Vehicle Swarm

et al. 2020

View full text Add to dashboard Cite

show abstract

“…An active target defense scenario was examined in [2,3], in which a defensive team consisting of a mobile high-value target and mobile protective agent maneuvered such that the defensive agent intercepted a mobile target as far from the high-value target as possible. In [6] , a two-team differential game was presented in which one team consists of a single mobile attacker, and the defending team is composed of a mobile high-value target and mobile defensive agent. The attacker strives to get as close to the high-value target as possible before being intercepted by the mobile defensive agent.…”

Section: Introductionmentioning

confidence: 99%

Engage or Retreat Differential Game with Two Targets

Shrestha

Fuchs

2019

2019 IEEE National Aerospace and Electronics Conference (NAECON)

View full text Add to dashboard Cite

“…In [1], the focus was on two-player PE games, but some techniques to study multiplayer PE games were also briefly discussed. Following [1], many researchers took an interest in multiplayer PE games, motivated by applications such as collision avoidance [2], cooperative surveillance [3], and defense and security systems [4][5][6]. An extensive amount of literature is now available, and a recent survey on zero-sum PE games with multiple agents is available in [7].…”

Section: Introductionmentioning

confidence: 99%

Optimal Evading Strategies for Two-Pursuer/One-Evader Problems

Makkapati

Sun

Tsiotras

2018

Journal of Guidance, Control, and Dynamics

View full text Add to dashboard Cite

Pursuit-evasion problems involving two pursuers and one evader are presented and analyzed. Two distinct scenarios differing in the type of information that the pursuers have about the evader's strategy are analyzed. The first scenario involves pursuers that have access to the evader's position and velocity at each instant of time, and consequently they follow a constant-bearing strategy. In the second scenario, it is assumed that the pursuers have only information about the evader's instantaneous position, and they follow a pure-pursuit strategy. In both these scenarios, the evader has information about the pursuers' location at every instant of time, and in addition, it also knows their pursuit strategy. The evading strategies maximizing capture time in both scenarios are studied under an optimal control framework. The two scenarios are further analyzed assuming that there is only one active pursuer. Such a case arises when the two pursuers follow a relay pursuit strategy.

show abstract

Cooperative Strategies for Optimal Aircraft Defense from an Attacking Missile

Cited by 102 publications

References 27 publications

An Optimal Guidance Strategy for Moving-Target Interception by a Multirotor Unmanned Aerial Vehicle Swarm

An Optimal Guidance Strategy for Moving-Target Interception by a Multirotor Unmanned Aerial Vehicle Swarm

Engage or Retreat Differential Game with Two Targets

Optimal Evading Strategies for Two-Pursuer/One-Evader Problems

Contact Info

Product

Resources

About