Volume 5 Number 7 (Jul. 2010)
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JCP 2010 Vol.5(7): 1003-1010 ISSN: 1796-203X
doi: 10.4304/jcp.5.7.1003-1010

Research on Programming Algorithm of Trajectory for Hypersonic Vehicles Based on Particle Swarm Optimization

Chuanfeng Li1, 2 Yongji Wang1, Lingling Tang1, and Zongzhun Zheng1
1 Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
2 Department of Computer and Information Engineering, Luoyang Institute of Science and Technology, Luoyang, China


Abstract—Aiming at the sensitivity to initial value and long computation time spent on iteration and programming the reference trajectory in reentry trajectory optimization for hypersonic vehicles, we propose a trajectory programming algorithm, which is based on drag acceleration profile. First of all, models of motion in reentry process of vehicle are built and an independent variable is introduced for optimization to reduce the difficulty of iterative computation. Then the optimal control problem of trajectory programming is simplified as one-dimensional searching problem including longitudinal and lateral parts. Subsequently, the tracking controller is designed for tracking the drag acceleration profile, where the particle swarm optimization is adopted in order to optimize the gain coefficient of tracking controller, from which a good tracking accuracy is obtained. Simulation results reveal that the obtained reentry trajectory presented by this paper can save the subsequently optimization iteration time and approach the best trajectory, which shows that this rational algorithm has great engineering value in practical application.

Index Terms—hypersonic vehicles; constraint processing; drag acceleration profile; trajectory tracking; particle swarm optimization

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Cite: Chuanfeng Li, Yongji Wang, Lingling Tang, and Zongzhun Zheng, " Research on Programming Algorithm of Trajectory for Hypersonic Vehicles Based on Particle Swarm Optimization," Journal of Computers vol. 5, no. 7, pp. 1003-1010, 2010.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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