Efficient Convex Optimization of Reentry Trajectory via the Chebyshev Pseudospectral Method
Joint Authors
Yu, Chun-Mei
Zhao, Dang-Jun
Yang, Ye
Source
International Journal of Aerospace Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-02
Country of Publication
Egypt
No. of Pages
9
Abstract EN
A novel sequential convex (SCvx) optimization scheme via the Chebyshev pseudospectral method is proposed for efficiently solving the hypersonic reentry trajectory optimization problem which is highly constrained by heat flux, dynamic pressure, normal load, and multiple no-fly zones.
The Chebyshev-Gauss Legend (CGL) node points are used to transcribe the original dynamic constraint into algebraic equality constraint; therefore, a nonlinear programming (NLP) problem is concave and time-consuming to be solved.
The iterative linearization and convexification techniques are proposed to convert the concave constraints into convex constraints; therefore, a sequential convex programming problem can be efficiently solved by convex algorithms.
Numerical results and a comparison study reveal that the proposed method is efficient and effective to solve the problem of reentry trajectory optimization with multiple constraints.
American Psychological Association (APA)
Yu, Chun-Mei& Zhao, Dang-Jun& Yang, Ye. 2019. Efficient Convex Optimization of Reentry Trajectory via the Chebyshev Pseudospectral Method. International Journal of Aerospace Engineering،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1156128
Modern Language Association (MLA)
Yu, Chun-Mei…[et al.]. Efficient Convex Optimization of Reentry Trajectory via the Chebyshev Pseudospectral Method. International Journal of Aerospace Engineering No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1156128
American Medical Association (AMA)
Yu, Chun-Mei& Zhao, Dang-Jun& Yang, Ye. Efficient Convex Optimization of Reentry Trajectory via the Chebyshev Pseudospectral Method. International Journal of Aerospace Engineering. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1156128
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1156128