Trajectory optimization and analysis for near spacecraft's unpowered gliding phase

Yongyuan Li; Yi Jiang; Chunping Huang

doi:10.1007/978-3-642-28655-1_7

Trajectory optimization and analysis for near spacecraft's unpowered gliding phase

Yongyuan Li^*, Yi Jiang, Chunping Huang

^*Corresponding author for this work

School of Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

According to the disadvantages of indirect method for trajectory optimization, that initial value the for conjugate variables are highly sensitive and can not obtain the global optimal solution, this paper introduced hybrid genetic algorithm to search initial value of conjugate variables, solved equations to obtain the track of Near Spacecraft at unpowered gliding phase. In the optimization process, the author takes the constraints of heating rate, dynamic pressure and overload into consideration, and optimizes the trajectory of under different initial factors. Numerical simulations confirm the applicability of the presented algorithm. Considering practical applications, some typical spacecraft gliding trajectory are optimized. The discussion of the numerical simulations gives some valuable opinions in practical applications.

Original language	English
Title of host publication	Advances in Electronic Commerce, Web Application and Communication
Pages	41-48
Number of pages	8
Edition	VOL. 1
DOIs	https://doi.org/10.1007/978-3-642-28655-1_7
Publication status	Published - 2012
Event	Electronic Commerce, Web Application and Communication, ECWAC 2012 - Wuhan, China Duration: 17 Mar 2012 → 18 Mar 2012

Publication series

Name	Advances in Intelligent and Soft Computing
Number	VOL. 1
Volume	148 AISC
ISSN (Print)	1867-5662

Conference

Conference	Electronic Commerce, Web Application and Communication, ECWAC 2012
Country/Territory	China
City	Wuhan
Period	17/03/12 → 18/03/12

Keywords

Near Spacecraft
Trajectory Optimization
hybrid genetic algorithm

Access to Document

10.1007/978-3-642-28655-1_7

Cite this

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title = "Trajectory optimization and analysis for near spacecraft's unpowered gliding phase",

abstract = "According to the disadvantages of indirect method for trajectory optimization, that initial value the for conjugate variables are highly sensitive and can not obtain the global optimal solution, this paper introduced hybrid genetic algorithm to search initial value of conjugate variables, solved equations to obtain the track of Near Spacecraft at unpowered gliding phase. In the optimization process, the author takes the constraints of heating rate, dynamic pressure and overload into consideration, and optimizes the trajectory of under different initial factors. Numerical simulations confirm the applicability of the presented algorithm. Considering practical applications, some typical spacecraft gliding trajectory are optimized. The discussion of the numerical simulations gives some valuable opinions in practical applications.",

keywords = "Near Spacecraft, Trajectory Optimization, hybrid genetic algorithm",

author = "Yongyuan Li and Yi Jiang and Chunping Huang",

year = "2012",

doi = "10.1007/978-3-642-28655-1_7",

language = "English",

isbn = "9783642286544",

series = "Advances in Intelligent and Soft Computing",

number = "VOL. 1",

pages = "41--48",

booktitle = "Advances in Electronic Commerce, Web Application and Communication",

edition = "VOL. 1",

note = "Electronic Commerce, Web Application and Communication, ECWAC 2012 ; Conference date: 17-03-2012 Through 18-03-2012",

}

Li, Y, Jiang, Y & Huang, C 2012, Trajectory optimization and analysis for near spacecraft's unpowered gliding phase. in Advances in Electronic Commerce, Web Application and Communication. VOL. 1 edn, Advances in Intelligent and Soft Computing, no. VOL. 1, vol. 148 AISC, pp. 41-48, Electronic Commerce, Web Application and Communication, ECWAC 2012, Wuhan, China, 17/03/12. https://doi.org/10.1007/978-3-642-28655-1_7

Trajectory optimization and analysis for near spacecraft's unpowered gliding phase. / Li, Yongyuan; Jiang, Yi; Huang, Chunping.
Advances in Electronic Commerce, Web Application and Communication. VOL. 1. ed. 2012. p. 41-48 (Advances in Intelligent and Soft Computing; Vol. 148 AISC, No. VOL. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Trajectory optimization and analysis for near spacecraft's unpowered gliding phase

AU - Li, Yongyuan

AU - Jiang, Yi

AU - Huang, Chunping

PY - 2012

Y1 - 2012

N2 - According to the disadvantages of indirect method for trajectory optimization, that initial value the for conjugate variables are highly sensitive and can not obtain the global optimal solution, this paper introduced hybrid genetic algorithm to search initial value of conjugate variables, solved equations to obtain the track of Near Spacecraft at unpowered gliding phase. In the optimization process, the author takes the constraints of heating rate, dynamic pressure and overload into consideration, and optimizes the trajectory of under different initial factors. Numerical simulations confirm the applicability of the presented algorithm. Considering practical applications, some typical spacecraft gliding trajectory are optimized. The discussion of the numerical simulations gives some valuable opinions in practical applications.

AB - According to the disadvantages of indirect method for trajectory optimization, that initial value the for conjugate variables are highly sensitive and can not obtain the global optimal solution, this paper introduced hybrid genetic algorithm to search initial value of conjugate variables, solved equations to obtain the track of Near Spacecraft at unpowered gliding phase. In the optimization process, the author takes the constraints of heating rate, dynamic pressure and overload into consideration, and optimizes the trajectory of under different initial factors. Numerical simulations confirm the applicability of the presented algorithm. Considering practical applications, some typical spacecraft gliding trajectory are optimized. The discussion of the numerical simulations gives some valuable opinions in practical applications.

KW - Near Spacecraft

KW - Trajectory Optimization

KW - hybrid genetic algorithm

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U2 - 10.1007/978-3-642-28655-1_7

DO - 10.1007/978-3-642-28655-1_7

M3 - Conference contribution

AN - SCOPUS:84864313263

SN - 9783642286544

T3 - Advances in Intelligent and Soft Computing

SP - 41

EP - 48

BT - Advances in Electronic Commerce, Web Application and Communication

T2 - Electronic Commerce, Web Application and Communication, ECWAC 2012

Y2 - 17 March 2012 through 18 March 2012

ER -

Trajectory optimization and analysis for near spacecraft's unpowered gliding phase

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