Discussion on neighborhood optimal trajectory online correction algorithm and its application range

doi:10.23919/JSEE.2023.000097

Journal of Systems Engineering and Electronics ›› 2023, Vol. 34 ›› Issue (4): 1053-1062.doi: 10.23919/JSEE.2023.000097

• • 上一篇

收稿日期:2021-03-29 出版日期:2023-08-18 发布日期:2023-08-28

Discussion on neighborhood optimal trajectory online correction algorithm and its application range

Wanli LI¹^,*(), Jiong LI²(), Humin LEI²()

¹ Graduate School, Air Force Engineering University, Xi’an 710051, China
² Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, China

Received:2021-03-29 Online:2023-08-18 Published:2023-08-28
Contact: Wanli LI E-mail:liwl170@163.com;gracefuloo1@126.com;hmleinet@126.com
About author:
LI Wanli was born in 1997. He received his M.S. degree in control science and engineering from Air Force Engineering University in 2021. He is currently working toward his Ph.D. degree in control science and engineering at Research College, Air Force Engineering University, Xi’an, China. His research interests focus on mid-guided missile trajectory optimization, correction, and regeneration. E-mail: liwl170@163.com

LI Jiong was born in 1979. He received his M.S. and Ph.D. degrees in control science and engineering from Air Force Engineering University in 2003 and 2007, respectively. He is now an associate professor and a doctoral supervisor at Air and Missile Defense College, Air Force Engineering University, Xi’an, China. His research interests include advanced guidance law design, hypersonic interception, and missile automatic controller design. E-mail: gracefuloo1@126.com

LEI Humin was born in 1960. He received his M.S. and Ph.D. degrees in navigation, guidance and control from Northwestern Polytechnical University, in 1989 and 1999, respectively. He is a professor and a doctoral supervisor in Air and Missile Defense College, Air Force Engineering University, Xi ’an, China. His current research interests are in the field of advanced guidance law design, hypersonic vehicle controller design, and hypersonic interception strategy. E-mail: hmleinet@126.com
Supported by:
This work was supported by the National Natural Science Foundation of China (61873278; 62173339)

摘要/Abstract

Abstract:

This paper presents a neighborhood optimal trajectory online correction algorithm considering terminal time variation, and investigates its application range. Firstly, the motion model of midcourse guidance is established, and the online trajectory correction-regenerating strategy is introduced. Secondly, based on the neighborhood optimal control theory, a neighborhood optimal trajectory online correction algorithm considering the terminal time variation is proposed by adding the consideration of terminal time variation to the traditional neighborhood optimal trajectory correction method. Thirdly, the Monte Carlo simulation method is used to analyze the application range of the algorithm, which provides a basis for the division of application domain of the online correction algorithm and the online regeneration algorithm of midcourse guidance trajectory. Finally, the simulation results show that the algorithm has high real-time performance, and the online correction trajectory can meet the requirements of terminal constraint change. The application range of the algorithm is obtained through Monte Carlo simulation.

Key words: midcourse guidance, online correction, neighborhood optimal control, application range

. [J]. Journal of Systems Engineering and Electronics, 2023, 34(4): 1053-1062.

Wanli LI, Jiong LI, Humin LEI. Discussion on neighborhood optimal trajectory online correction algorithm and its application range[J]. Journal of Systems Engineering and Electronics, 2023, 34(4): 1053-1062.

图/表 7

参考文献 24

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Parameter	Value	Parameter	Value
x₀/km	0	x _f /km	338
y₀/km	70	y _f /km	30
z₀/km	0	z _f /km	10
v₀/(km·s⁻¹)	3	v _f /(km·s⁻¹)	max
${\theta _0}$ /(°)	−2	$ {\theta _f} $ /(°)	0
${\psi _{v0} }$ /(°)	1	$ {\psi _{vf}} $ /(°)	0

Method	$x/{\rm{km}}$	$ h{\text{/km}} $	$z/{\rm{km}}$	$v{{/({\rm{m}} \cdot {\rm{s}}^{-1})} }$	$\theta / (^{\circ})$	${ {\psi }_{v} }/(^\circ)$	Simulation time/s
Convex optimization method	338	31	10.5	2938.6	0	0	7.59
Neighborhood correction algorithm	338	30.9	10.6	2935.6	0.2	−0.2	0.26

Discussion on neighborhood optimal trajectory online correction algorithm and its application range

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