Optimal two-impulse space interceptionwith multiple constraints

Li XIE , Yi-qun ZHANG , Jun-yan XU

Front. Inform. Technol. Electron. Eng ›› 2020, Vol. 21 ›› Issue (7) : 1085 -1107.

PDF (1276KB)
Front. Inform. Technol. Electron. Eng ›› 2020, Vol. 21 ›› Issue (7) : 1085 -1107. DOI: 10.1631/FITEE.1800763
Orginal Article
Orginal Article

Optimal two-impulse space interceptionwith multiple constraints

Author information +
History +
PDF (1276KB)

Abstract

We consider optimal two-impulse space interception problems with multiple constraints. The multiple constraints are imposed on the terminal position of a space interceptor, impulse and impact instants, and the component-wise magnitudes of velocity impulses. These optimization problems are formulated as multi-point boundary value problems and solved by the calculus of variations. Slackness variable methods are used to convert all inequality constraints into equality constraints so that the Lagrange multiplier method can be used. A new dynamic slackness variable method is presented. As a result, an indirect optimization method is developed. Subsequently, our method is used to solve the two-impulse space interception problems of free-flight ballistic missiles. A number of conclusions for local optimal solutions have been drawn based on highly accurate numerical solutions. Specifically, by numerical examples, we show that when time and velocity impulse constraints are imposed, optimal two-impulse solutions may occur; if two-impulse instants are free, then a two-impulse space interception problem with velocity impulse constraints may degenerate to a one-impulse case.

Keywords

Space interception problems / Variational method / Multiple constraints / Two-velocity impulses / Multi-point boundary value problems / Local optimal solutions / Dynamic slackness variable method

Cite this article

Download citation ▾
Li XIE, Yi-qun ZHANG, Jun-yan XU. Optimal two-impulse space interceptionwith multiple constraints. Front. Inform. Technol. Electron. Eng, 2020, 21(7): 1085-1107 DOI:10.1631/FITEE.1800763

登录浏览全文

4963

注册一个新账户 忘记密码

References

RIGHTS & PERMISSIONS

Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature

AI Summary AI Mindmap
PDF (1276KB)

Supplementary files

FITEE-1085-20010-LX_suppl_1

FITEE-1085-20010-LX_suppl_2

653

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/