Detail výsledku
Predictive Control Driven Tactical Maneuvering
Hanák Jiří, Ing., Ph.D., UPGM (FIT)
Chudý Peter, doc. Ing., Ph.D., MBA, UPGM (FIT)
Authentic simulations of tactical combat encounters dedicated to pilot training
purposes incorporate both discrete decision making based on expert knowledge as
well as continuous time control of the tactical aircraft. Research related to
multi-agent simulations typically simplifies underlying agent dynamics focusing
solely on optimal decision making process within the tactical scenario. However,
in complex combat encounter scenarios, realistic maneuvering capabilities of
agents have to be considered in modeling tactical scenarios and studying optimal
decision strategies. Considering the above stated, a Nonlinear Model Predictive
Control (NMPC) approach incorporating objectives and constraints relevant to
tactical maneuvering is proposed. Considering selected Beyond Visual Range (BVR)
combat encounter scenarios, we demonstrate that the proposed control mechanism is
highly flexible with regard to tactical maneuvers.
Beyond Visual Range, Model Predictive Control, Tactical maneuvering, Optimal
Control, Flight dynamics
@inproceedings{BUT189134,
author="Jiří {Novák} and Jiří {Hanák} and Peter {Chudý}",
title="Predictive Control Driven Tactical Maneuvering",
booktitle="ICAS Proceedings",
year="2024",
journal="ICAS Proceedings",
volume="10",
number="9",
pages="1--12",
publisher="International Council of the Aeronautical Sciences",
address="Florence",
issn="2958-4647",
url="https://www.icas.org/icas_archive/icas2024/data/preview/icas2024_1044.htm"
}