Reentry Trajectory Optimization for a Hypersonic Vehicle Based on an Improved Adaptive Fireworks Algorithm
Joint Authors
Wang, Yongji
Wei, Xing
Yang, Ye
Liu, Lei
Source
International Journal of Aerospace Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-26
Country of Publication
Egypt
No. of Pages
17
Abstract EN
Generation of optimal reentry trajectory for a hypersonic vehicle (HV) satisfying both boundary conditions and path constraints is a challenging task.
As a relatively new swarm intelligent algorithm, an adaptive fireworks algorithm (AFWA) has exhibited promising performance on some optimization problems.
However, with respect to the optimal reentry trajectory generation under constraints, the AFWA may fall into local optimum, since the individuals including fireworks and sparks are not well informed by the whole swarm.
In this paper, we propose an improved AFWA to generate the optimal reentry trajectory under constraints.
First, via the Chebyshev polynomial interpolation, the trajectory optimization problem with infinite dimensions is transformed to a nonlinear programming problem (NLP) with finite dimension, and the scope of angle of attack (AOA) is obtained by path constraints to reduce the difficulty of the optimization.
To solve the problem, an improved AFWA with a new mutation strategy is developed, where the fireworks can learn from more individuals by the new mutation operator.
This strategy significantly enhances the interactions between the fireworks and sparks and thus increases the diversity of population and improves the global search capability.
Besides, a constraint-handling technique based on an adaptive penalty function and distance measure is developed to deal with multiple constraints.
The numerical simulations of two reentry scenarios for HV demonstrate the validity and effectiveness of the proposed improved AFWA optimization method, when compared with other optimization methods.
American Psychological Association (APA)
Wei, Xing& Liu, Lei& Wang, Yongji& Yang, Ye. 2018. Reentry Trajectory Optimization for a Hypersonic Vehicle Based on an Improved Adaptive Fireworks Algorithm. International Journal of Aerospace Engineering،Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1167902
Modern Language Association (MLA)
Wei, Xing…[et al.]. Reentry Trajectory Optimization for a Hypersonic Vehicle Based on an Improved Adaptive Fireworks Algorithm. International Journal of Aerospace Engineering No. 2018 (2018), pp.1-17.
https://search.emarefa.net/detail/BIM-1167902
American Medical Association (AMA)
Wei, Xing& Liu, Lei& Wang, Yongji& Yang, Ye. Reentry Trajectory Optimization for a Hypersonic Vehicle Based on an Improved Adaptive Fireworks Algorithm. International Journal of Aerospace Engineering. 2018. Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1167902
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1167902