Abstract
Constraints faced by the ascent stage of horizontal take-off combined power vehicle are complex and diverse, and the span of flight altitude and airspeed is large. These problems will have an adverse impact on the flight process and increase the difficulty of trajectory design in the ascent stage. Aiming at the multi constraints problem of trajectory design in the ascent stage, the longitudinal particle dynamic equation is given, constraints considered are determined, the relationship between constraint conditions and the pitch angle is studied, the pitch angle profile is designed, the calculation flow of the trajectory iterative algorithm is established, a trajectory design method which uses the pitch angle profile is developed, and the trajectory design method is simulated and analyzed. The final simulation results show that, when meeting multiple constraints in the ascent stage, this developed method will solve the trajectory design problem, and this method has certain practical value and engineering value.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Long, L., Cai, Q., Wang, F.: Development of reusable space transportation technologies. Sci. Technol. Rev. 36(10), 84–92 (2018)
Zhang, J., Wang, Z., Li, Q.: Modeling and performance analysis of deeply precooled combined cycle engine in the air-breathing mode. J. Natl. Univ. Def. Technol. 40(1), 84–92 (2018)
Tan, Y., Li, P., Li, Q.: Research on development of propulsion technology for reusable space transportation system. Manned Spacefl. 25(1), 1–11 (2019)
Wang, S., He, G., Yan, D.: Analysis and reduction of skin-friction in a rocket-based combined-cycle engine flow path operating from mach 1.5 to 6.0. Acta Astronautica 151, 357–367 (2018)
An, H., Wu, Q.: Fast tracking control of air-breathing hypersonic vehicles with time-varying uncertain parameters. Nonlinear Dyn. 91(3), 1835–1852 (2018)
Derek, J., Driscoll, F.: Minimum-fuel ascent of a hypersonic vehicle using surrogate optimization. J. Aircr. 51(6), 1973–1986 (2014)
Fabrizio, P., Edmondo, M.: Ascent trajectory optimization for a single-stage-to-orbit vehicle with hybrid propulsion. In: AIAA the 18th International Space Planes and Hypersonic Systems and Technologies Conference, AIAA 2012–5828, Tours, France, pp. 1–18 (2012)
Yang, Z., Xu, B., Yao, D.: Research on climbing trajectory optimization of air-breathing hypersonic vehicle based on gauss pseudospectral method. Navig. Position. Timing 5(3), 35–40 (2018)
Zhang, P., Liu, L., Wang, J.: Optimal ascent trajectory design for single-stage-to-orbit space planes based on gauss pseudospectral method. Aerosp. Control Appl. 43(2), 13–20 (2017)
Wang, L., Yang, K., Wang, N.: Research on ascent closed-loop guidance for hypersonic vehicles based on Hp-adaptive pseudo spectrum method. Comput. Meas. Control 27(1), 136–140 (2019)
Fu, W., Wang, B., Li, X.: Ascent trajectory optimization for hypersonic vehicle based on improved chicken swarm optimization. IEEE Access 7, 151836–151850 (2019)
Liu, K., Guo, J., Zhou, W.: Investigation on ascent guidance law for air-breathing combined-cycle hypersonic vehicle. J. Astronaut. 41(8), 1023–1031 (2020)
Jia, X., Yan, X.: Ascent trajectory design method for air-breathing powered system. J. Northwest. Polytech. Univ. 33(1), 104–109 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Huang, J., Sun, C., Feng, W. (2023). Ascent Trajectory Design Method for Air-Breathing Combined Power Hypersonic Vehicle. In: Yan, L., Duan, H., Deng, Y. (eds) Advances in Guidance, Navigation and Control. ICGNC 2022. Lecture Notes in Electrical Engineering, vol 845. Springer, Singapore. https://doi.org/10.1007/978-981-19-6613-2_387
Download citation
DOI: https://doi.org/10.1007/978-981-19-6613-2_387
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-6612-5
Online ISBN: 978-981-19-6613-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)