Augmented proportional navigation guidance with cooperative collision avoidance

Bhargav Jha; Ronny Tsalik; Martin Weiss; Tal Shima

Augmented proportional navigation guidance with cooperative collision avoidance

Bhargav Jha, Ronny Tsalik, Martin Weiss, Tal Shima

Aerospace Engineering

Technion - Israel Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a version of augmented proportional navigation guidance law for a team of cooperating pursuers that achieves target capture as well as ensures collision avoidance between the pursuers. The guidance law is derived using linear quadratic optimal control theory for a linearized engagement model, where the cost function to be minimized is the team effort. The cooperation among the pursuers accommodates the differences in the maneuvering capabilities of the individual pursuers. Numerical simulation results for the linear engagement model are presented for a case of 2-on-2 engagement.

Original language	English
Title of host publication	59th Israel Annual Conference on Aerospace Sciences, IACAS 2019
Pages	75-91
Number of pages	17
ISBN (Electronic)	9781510882782
State	Published - 2019
Event	59th Israel Annual Conference on Aerospace Sciences, IACAS 2019 - Tel-Aviv and Haifa, Israel Duration: 6 Mar 2019 → 7 Mar 2019

Publication series

Name	59th Israel Annual Conference on Aerospace Sciences, IACAS 2019

Conference

Conference	59th Israel Annual Conference on Aerospace Sciences, IACAS 2019
Country/Territory	Israel
City	Tel-Aviv and Haifa
Period	6/03/19 → 7/03/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Aerospace Engineering

Cite this

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title = "Augmented proportional navigation guidance with cooperative collision avoidance",

abstract = "This paper presents a version of augmented proportional navigation guidance law for a team of cooperating pursuers that achieves target capture as well as ensures collision avoidance between the pursuers. The guidance law is derived using linear quadratic optimal control theory for a linearized engagement model, where the cost function to be minimized is the team effort. The cooperation among the pursuers accommodates the differences in the maneuvering capabilities of the individual pursuers. Numerical simulation results for the linear engagement model are presented for a case of 2-on-2 engagement.",

author = "Bhargav Jha and Ronny Tsalik and Martin Weiss and Tal Shima",

note = "Publisher Copyright: {\textcopyright} 2019 Israel Annual Conference on Aerospace Sciences. All rights reserved.; 59th Israel Annual Conference on Aerospace Sciences, IACAS 2019 ; Conference date: 06-03-2019 Through 07-03-2019",

year = "2019",

language = "الإنجليزيّة",

series = "59th Israel Annual Conference on Aerospace Sciences, IACAS 2019",

pages = "75--91",

booktitle = "59th Israel Annual Conference on Aerospace Sciences, IACAS 2019",

}

Jha, B, Tsalik, R, Weiss, M & Shima, T 2019, Augmented proportional navigation guidance with cooperative collision avoidance. in 59th Israel Annual Conference on Aerospace Sciences, IACAS 2019. 59th Israel Annual Conference on Aerospace Sciences, IACAS 2019, pp. 75-91, 59th Israel Annual Conference on Aerospace Sciences, IACAS 2019, Tel-Aviv and Haifa, Israel, 6/03/19.

Augmented proportional navigation guidance with cooperative collision avoidance. / Jha, Bhargav; Tsalik, Ronny; Weiss, Martin et al.
59th Israel Annual Conference on Aerospace Sciences, IACAS 2019. 2019. p. 75-91 (59th Israel Annual Conference on Aerospace Sciences, IACAS 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Augmented proportional navigation guidance with cooperative collision avoidance

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AU - Tsalik, Ronny

AU - Weiss, Martin

AU - Shima, Tal

PY - 2019

Y1 - 2019

N2 - This paper presents a version of augmented proportional navigation guidance law for a team of cooperating pursuers that achieves target capture as well as ensures collision avoidance between the pursuers. The guidance law is derived using linear quadratic optimal control theory for a linearized engagement model, where the cost function to be minimized is the team effort. The cooperation among the pursuers accommodates the differences in the maneuvering capabilities of the individual pursuers. Numerical simulation results for the linear engagement model are presented for a case of 2-on-2 engagement.

AB - This paper presents a version of augmented proportional navigation guidance law for a team of cooperating pursuers that achieves target capture as well as ensures collision avoidance between the pursuers. The guidance law is derived using linear quadratic optimal control theory for a linearized engagement model, where the cost function to be minimized is the team effort. The cooperation among the pursuers accommodates the differences in the maneuvering capabilities of the individual pursuers. Numerical simulation results for the linear engagement model are presented for a case of 2-on-2 engagement.

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M3 - منشور من مؤتمر

T3 - 59th Israel Annual Conference on Aerospace Sciences, IACAS 2019

SP - 75

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BT - 59th Israel Annual Conference on Aerospace Sciences, IACAS 2019

T2 - 59th Israel Annual Conference on Aerospace Sciences, IACAS 2019

Y2 - 6 March 2019 through 7 March 2019

ER -

Augmented proportional navigation guidance with cooperative collision avoidance

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

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