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Analytical predictor–corrector entry guidance for hypersonic gliding vehicles

  • Huatao Chen , Kun Zhao , Juan L.G. Guirao ORCID logo EMAIL logo and Dengqing Cao

Abstract

For the entry guidance problem of hypersonic gliding vehicles (HGVs), an analytical predictor–corrector guidance method based on feedback control of bank angle is proposed. First, the relative functions between the velocity, bank angle and range-to-go are deduced, and then, the analytical relation is introduced into the predictor–corrector algorithm, which is used to replace the traditional method to predict the range-to-go via numerical integration. To eliminate the phugoid trajectory oscillation, a method for adding the aerodynamic load feedback into the control loop of the bank angle is proposed. According to the quasi-equilibrium gliding condition, the function of the quasi-equilibrium glide load along with the velocity variation is derived. For each guidance period, the deviation between the real-time load and the quasi-equilibrium gliding load is revised to obtain a smooth reentry trajectory. The simulation results indicate that the guidance algorithm can adapt to the mission requirements of different downranges, and it also has the ability to guide the vehicle to carry out a large range of lateral maneuvers. The feedback control law of the bank angle effectively eliminates the phugoid trajectory oscillation and guides the vehicle to complete a smooth reentry flight. The Monte Carlo test indicated that the guidance precision and robustness are good.


Corresponding author: Juan L.G. Guirao, Departamento de Matemática Aplicaday Estadística, Universidad Politécnica de Cartagena, 30203 Cartagena, Spain, E-mail:

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2019-11-23
Accepted: 2020-11-19
Published Online: 2020-12-16
Published in Print: 2021-12-20

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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