Research on Ascent Phase Guidance Technology Based on Uncertainty Parameter Online Identification

In response to the challenges of numerous constraints in the ascent phase of composite-powered carriers, narrow flight corridors, and poor adaptability of guidance to deviations in aerodynamic coefficients, atmospheric density, and thrust, this paper proposes an ascent guidance method based on online identification of uncertain parameters. An online identification model based on acceleration information is established to identify the magnitude of parameter deviations. Trajectory profiles matching the magnitude of parameter deviations are selected online from a trajectory database to ensure that the guided vehicle reaches the starting window of the next mission within the constraints under deviation conditions. Simulation results demonstrate that this method enables rapid online selection of a trajectory adapted to the current composite uncertainties, thereby enhancing the robustness of ascent phase guidance schemes for composite-powered carriers.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/iccsse63803.2024.10823673
Primary Topic
Advanced Measurement and Detection Methods
Type
article
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article

Research on Ascent Phase Guidance Technology Based on Uncertainty Parameter Online Identification

Sun Chunzhen, Shao Yichong, Ding Jiayuan, Cui MengMeng
Advanced Measurement and Detection Methods
article

Research on Ascent Phase Guidance Technology Based on Uncertainty Parameter Online Identification

Sun Chunzhen, Shao Yichong, Ding Jiayuan, Cui MengMeng
article en

Abstract

In response to the challenges of numerous constraints in the ascent phase of composite-powered carriers, narrow flight corridors, and poor adaptability of guidance to deviations in aerodynamic coefficients, atmospheric density, and thrust, this paper proposes an ascent guidance method based on online identification of uncertain parameters. An online identification model based on acceleration information is established to identify the magnitude of parameter deviations. Trajectory profiles matching the magnitude of parameter deviations are selected online from a trajectory database to ensure that the guided vehicle reaches the starting window of the next mission within the constraints under deviation conditions. Simulation results demonstrate that this method enables rapid online selection of a trajectory adapted to the current composite uncertainties, thereby enhancing the robustness of ascent phase guidance schemes for composite-powered carriers.

China Academy of Launch Vehicle Technology (CN), Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 77%
Advanced Measurement and Detection Methods
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