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IEEE Access
Article . 2024 . Peer-reviewed
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IEEE Access
Article . 2024
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Mid-Course Trajectory Optimization for Short-Range Head-On Engagement via Sequential Convex Programming

Authors: Hyuck-Hoon Kwon; Jang-Seong Park; Jeong-Hun Kim; Yong-Su Han;

Mid-Course Trajectory Optimization for Short-Range Head-On Engagement via Sequential Convex Programming

Abstract

If an aerial defense missile with a limited strapdown field-of-view (FOV) is launched with a restricted launch angle against an incoming target at high altitude, there are significant difficulties in establishing an appropriate collision course for head-on engagement. Owing to the time-varying characteristics of the initial phase with several linear and nonlinear constraints, the analytical approach is unsuitable for obtaining the optimal solution. In this paper, a mid-course trajectory for short-range head-on engagement was generated using a convex programming approach. The time-varying characteristics of mass and velocity were considered based on the thrust profile, and the maximum flight path angle was limited as an additional constraint to prevent excessive trajectory shaping. The original nonlinear optimization problem was converted into a convex optimization problem with state augmentation, linearization, and lossless convexification. For lossless convexification, a modified optimization problem with a regularization term is suggested, and it is proved based on the maximum principal of optimal control theory. The numerical results of the modified optimization problem show that the proposed approach is effective for head-on engagement, ensuring lossless convexification. Finally, the results of the convex programming approach were compared with those of state-of-the-art nonlinear programming for verification.

Keywords

ground-to-air missiles, sequential convex programming, lossless convexification, Head-on trajectory, Electrical engineering. Electronics. Nuclear engineering, short-range engagement, TK1-9971

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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