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A Novel Migrant PSO Algorithm for Vehicle Reentry Trajectory Optimization

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成果类型:
期刊论文
作者:
Xie, Fu-Qiang;Wang, Yong-Ji*;Hu, Cheng-Yu;Zheng, Zong-Zhun;Zu, Quan-Min
通讯作者:
Wang, Yong-Ji
作者机构:
[Wang, Yong-Ji; Xie, Fu-Qiang; Hu, Cheng-Yu; Zheng, Zong-Zhun] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Key Lab, Minist Educ Image Proc & Intelligent Control, Wuhan 430074, Peoples R China.
[Xie, Fu-Qiang] Univ Souch China, Sch Elect Engn, Hengyang 421300, Peoples R China.
[Wang, Yong-Ji; Xie, Fu-Qiang; Hu, Cheng-Yu; Zheng, Zong-Zhun] Univ W England, Bristol Inst Technol, Bristol BS16 1QY, Avon, England.
通讯机构:
[Wang, Yong-Ji] H
Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Key Lab, Minist Educ Image Proc & Intelligent Control, Wuhan 430074, Peoples R China.
语种:
英文
关键词:
MIGRANT PSO;MULTI-CONSTRAINTS;OPTIMAL CONTROL;REENTRY TRAJECTORY OPTIMIZATION;SQP
期刊:
Journal of Computational and Theoretical Nanoscience
ISSN:
1546-1955
年:
2012
卷:
9
期:
2
页码:
276-285
基金类别:
National Nature Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [60674105, 60975058, 60736023]; Spaceflight Support Foundation
机构署名:
本校为其他机构
院系归属:
电气工程学院
摘要:
In this study a novel Migrant Particle Swarm Optimization (Migrant PSO) algorithm is presented to upgrade the performance in multi-constraint trajectory optimization. To imitate the behaviour of a flock of migrant birds, the Migrant PSO algorithm integrates stochastic search and adaptive linear search mechanism effectively within both continuous space and discrete space. Then the developed algorithm is applied to the minimum control energy reentry trajectory optimization for X-33 vehicle model with free terminal time, some key issues such as parameterized method are discussed in detail. The ef...

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