Supersonic aircraft energy turns

Kelley, Henry J.; Lefton, Leon

doi:10.1016/0005-1098(72)90028-3

Cited by 18 publications

(4 citation statements)

References 4 publications

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“…Similar to the barrier concept developed in formal approach and optimal theory-based method, the barrier surfaces were calculated in the DT-based approach, see Kelley and Lefton 145 for details. Also in Kelley and Lefton, 145 in contrast to the prior work in Kelley and Lefton 139,141 and Kelley, 142–144 which considers only the aircraft dynamics, the effect of the weaponry system was discussed. This effect was modeled via radius and conic limit of the weapon.…”

Section: Mathematics-based Approachesmentioning

confidence: 99%

“…Some preliminary work of the DT-based approach traces back to energy-based range/climb in Edelbaum and Kelley 136 and energy-based turning in Kelley and Lefton. 139 The optimization for single aircraft performance was presented. As depicted later in Kelley, 140 a reduced-order system that considers the summarized energy (potential and kinetic) was established.…”

Section: Mathematics-based Approachesmentioning

confidence: 99%

“…Or as in Kelley and Lefton, 139 an augmented Hamilton function which considers the inequality constraints is expressed as …”

Section: Mathematics-based Approachesmentioning

confidence: 99%

“…Methods that are similar to the one listed in optimal theory-based approach can be utilized, see Kelley and Lefton 139,141 and Kelley 142–144 for more details. Again, by assigning one of the two players as pursuer/evader and the other as evader/pursuer, two different games are solved.…”

Section: Mathematics-based Approachesmentioning

confidence: 99%

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Guidance and control for own aircraft in the autonomous air combat: A historical review and future prospects

Dong

Liu

2019

Proceedings of the Institution of Mechanical Engineers, Part G:

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The Autonomous Air Combat technique has been a lasting research topic for decades. However, no complete solutions seem to have appeared because of the highly dynamic and complex nature of the Autonomous Air Combat problem. In devising the Autonomous Air Combat solutions, we follow similar methodologies in the robotics community, and divide the overall scheme into two folds: the perception of other (enemy/friendly) aircraft, and the guidance/control for own aircraft. While the perception in the first fold serves as a foundation, this paper is mainly focused on the second one. Based on our survey, a review of own aircraft guidance/control in the (primarily one-to-one) Autonomous Air Combat solutions is presented. We divide different Autonomous Air Combat solutions into three groups, i.e. mathematics-based, knowledge-encoded, and learning-driven. In each group, we present the representative methods first; problem definition, solution, and a brief overview of the historical development are illustrated. We also comment on both weakness and strengths for each group/method. We point out certain technical paths/challenges that need to be addressed in the future Autonomous Air Combat development, i.e. to abstract and emulate the human pilot experiences, and to develop the online learning capabilites. Inspired by the state-of-art techniques in other similar fields (robotics, autonomous driving), we also propose potential solutions, i.e. traditional approaches enhanced by the novel data-driven technique. Via this paper, we hope to deliver an in-depth analysis of past experiences and potential challenges/solutions for the Autonomous Air Combat technique. We also advocate referring to the approaches/techniques that are utilized in other similar fields in devising the Autonomous Air Combat solutions.

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