Encoding aerial pursuit/evasion games with fixed wing aircraft into a nonlinear model predictive tracking controller

Jonathan Sprinkle; J. Mikael Eklund; H. Jin Kim; Shankar Sastry

doi:10.1109/cdc.2004.1428851

Encoding aerial pursuit/evasion games with fixed wing aircraft into a nonlinear model predictive tracking controller

Jonathan Sprinkle, J. Mikael Eklund, H. Jin Kim, Shankar Sastry

Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

70 Scopus citations

Abstract

Unmanned Aerial Vehicles (UAVs) have shown themselves to be highly capable in intelligence gathering, as well as a possible future deployment platform for munitions. Currently UAVs are supervised or piloted remotely, meaning that their behavior is not autonomous throughout the night. For uncontested missions this is a viable method; however, if confronted by an adversary, UAVs may be required to execute maneuvers faster than a remote pilot could perform them in order to evade being targeted. In this paper we give a description of a non-linear model predictive controller in which evasive maneuvers in three dimensions are encoded for a fixed wing UAV for the purposes of this pursuit/evasion game.

Original language	English (US)
Article number	WeC09.5
Pages (from-to)	2609-2614
Number of pages	6
Journal	Proceedings of the IEEE Conference on Decision and Control
Volume	3
DOIs	https://doi.org/10.1109/cdc.2004.1428851
State	Published - 2004
Event	2004 43rd IEEE Conference on Decision and Control (CDC) - Nassau, Bahamas Duration: Dec 14 2004 → Dec 17 2004

ASJC Scopus subject areas

Control and Systems Engineering
Modeling and Simulation
Control and Optimization

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10.1109/cdc.2004.1428851

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title = "Encoding aerial pursuit/evasion games with fixed wing aircraft into a nonlinear model predictive tracking controller",

abstract = "Unmanned Aerial Vehicles (UAVs) have shown themselves to be highly capable in intelligence gathering, as well as a possible future deployment platform for munitions. Currently UAVs are supervised or piloted remotely, meaning that their behavior is not autonomous throughout the night. For uncontested missions this is a viable method; however, if confronted by an adversary, UAVs may be required to execute maneuvers faster than a remote pilot could perform them in order to evade being targeted. In this paper we give a description of a non-linear model predictive controller in which evasive maneuvers in three dimensions are encoded for a fixed wing UAV for the purposes of this pursuit/evasion game.",

author = "Jonathan Sprinkle and Eklund, {J. Mikael} and Kim, {H. Jin} and Shankar Sastry",

year = "2004",

doi = "10.1109/cdc.2004.1428851",

language = "English (US)",

volume = "3",

pages = "2609--2614",

journal = "Proceedings of the IEEE Conference on Decision and Control",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2004 43rd IEEE Conference on Decision and Control (CDC) ; Conference date: 14-12-2004 Through 17-12-2004",

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T1 - Encoding aerial pursuit/evasion games with fixed wing aircraft into a nonlinear model predictive tracking controller

AU - Sprinkle, Jonathan

AU - Eklund, J. Mikael

AU - Kim, H. Jin

AU - Sastry, Shankar

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AB - Unmanned Aerial Vehicles (UAVs) have shown themselves to be highly capable in intelligence gathering, as well as a possible future deployment platform for munitions. Currently UAVs are supervised or piloted remotely, meaning that their behavior is not autonomous throughout the night. For uncontested missions this is a viable method; however, if confronted by an adversary, UAVs may be required to execute maneuvers faster than a remote pilot could perform them in order to evade being targeted. In this paper we give a description of a non-linear model predictive controller in which evasive maneuvers in three dimensions are encoded for a fixed wing UAV for the purposes of this pursuit/evasion game.

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JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

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ER -

Encoding aerial pursuit/evasion games with fixed wing aircraft into a nonlinear model predictive tracking controller

Abstract

ASJC Scopus subject areas

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