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Hangkong bingqi
Article . 2024
Data sources: DOAJ
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Nonlinear Optimal Terminal Guidance Considering Autopilot Delay

Authors: Liu Juntong, Chen Zheng, Zhang Ze;

Nonlinear Optimal Terminal Guidance Considering Autopilot Delay

Abstract

The online generation method of nonlinear optimal terminal guidance command with the overload constraint and autopilot delay is studied. Firstly, the optimality conditions of the nonlinear optimal guidance problem with stationary target are established based on the Pontryagin’s maximum principle, and the overload constraint is embedded into the optimality conditions by the saturation function. Secondly, the parametric method is used to generate the flight trajectory data set that satisfies the optimality conditions by numerical integration. Then, the neural network is trained using the data set to fit the mapping relationship between the relative motion state of the missile-target and the optimal guidance command, so as to generate the guidance command under the overload constraint within milliseconds. For the delay response of autopilot, the differential compensation method is used to estimate the optimal guidance command output by the neural network at the next moment to achieve fast tracking. Finally, the simulation results show that the proposed method can generate optimal guidance command online for both stationary targets and small maneuvering targets.

Keywords

|overload constraint|autopilot delay|nonlinear optimal terminal guidance|parameterized method|neural network, TL1-4050, Motor vehicles. Aeronautics. Astronautics

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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
gold