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Minimum-Fuel Ascent of Hypersonic Vehicle considering Control Constraint Using the Improved Pigeon-Inspired Optimization Algorithm
Joint Authors
Tang, Yue
He, Jiahao
Liu, Yanbin
Li, Shuanglin
Source
International Journal of Aerospace Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-08
Country of Publication
Egypt
No. of Pages
21
Abstract EN
Trajectory optimization problem for hypersonic vehicles has long been recognized as a difficult problem.
This paper brings control constraints into the trajectory optimization to make the optimal trajectory meet the requirements of control performance.
The strong nonlinear characteristic of the ascent phase aerodynamics makes the trajectory optimization problem difficult to be solved by the optimal control theory.
A trajectory optimization algorithm based on the improved pigeon-inspired optimization (PIO) algorithm is proposed to solve the complex trajectory optimization problem under multiple constraints.
To overcome the obstacle of premature convergence and deceptiveness, the evolutionary strategy of qubit in quantum evolutionary algorithm (QEA) is introduced into the PIO to maintain population diversity and judge the optimal solution.
To handle constraints, the penalty function is used to construct the fitness function.
The optimal ascent trajectory is obtained by utilizing the improved PIO algorithm.
Then, the trajectory inverse algorithm is used to verify the feasibility of the optimal trajectory to ensure that a feasible optimal trajectory is obtained.
The comparison results show that the proposed algorithm outperforms particle swarm optimization (PSO) and standard PIO on trajectory optimization.
Meanwhile, the simulation result shows that the performance of the optimal ascent trajectory with control constraints is improved and the trajectory is feasible.
Therefore, the method is potentially feasible for solving the ascent trajectory optimization problem under control constraint for hypersonic vehicles.
American Psychological Association (APA)
He, Jiahao& Liu, Yanbin& Li, Shuanglin& Tang, Yue. 2020. Minimum-Fuel Ascent of Hypersonic Vehicle considering Control Constraint Using the Improved Pigeon-Inspired Optimization Algorithm. International Journal of Aerospace Engineering،Vol. 2020, no. 2020, pp.1-21.
https://search.emarefa.net/detail/BIM-1168019
Modern Language Association (MLA)
He, Jiahao…[et al.]. Minimum-Fuel Ascent of Hypersonic Vehicle considering Control Constraint Using the Improved Pigeon-Inspired Optimization Algorithm. International Journal of Aerospace Engineering No. 2020 (2020), pp.1-21.
https://search.emarefa.net/detail/BIM-1168019
American Medical Association (AMA)
He, Jiahao& Liu, Yanbin& Li, Shuanglin& Tang, Yue. Minimum-Fuel Ascent of Hypersonic Vehicle considering Control Constraint Using the Improved Pigeon-Inspired Optimization Algorithm. International Journal of Aerospace Engineering. 2020. Vol. 2020, no. 2020, pp.1-21.
https://search.emarefa.net/detail/BIM-1168019
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1168019