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Entry Guidance Command Generation for Hypersonic Glide Vehicles Under Threats and Multiple Constraints

Authors: Ziyao Wang; Shengjing Tang; Jie Guo;

Entry Guidance Command Generation for Hypersonic Glide Vehicles Under Threats and Multiple Constraints

Abstract

A novel entry guidance command generation (EGCG) method for hypersonic glide vehicles (HGVs) is proposed in this paper. Apart from the conventional path constraints, terminal constraints, and multiple stationary geographic constraints, the method takes into account several threats that HGVs must avoid during the entry process. The threats are classified into covert threats and dynamic threats. The information of covert threats needs to be detected during the entry process, and the positions of dynamic threats are even unfixed. A piecewise analytical polynomial height-velocity profile is used to derive an analytical magnitude expression for bank angle commands. The profile is capable of taking full advantage of the width of the entry corridor and satisfying large range requirements in flight missions. An improved artificial potential field (IAPF) is introduced to formulate the lateral guidance law, which allows the HGV to pass all the waypoints, circumvent no-fly zones, and maneuver to avoid threats. Finally, several simulations are conducted to demonstrate the effectiveness of the designed method. The proposed EGCG method exhibits a superior ability to satisfy multiple constraints and avoid threats, accuracy to target point arrival, and strong robustness against uncertainties and deviations.

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Keywords

threats, multiple constraints, Electrical engineering. Electronics. Nuclear engineering, Hypersonic glide vehicle, entry guidance command generation, improved artificial potential field, 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!
10
Top 10%
Average
Top 10%
gold