Multi-objective longitudinal trajectory optimization for hypersonic reentry glide vehicle based on PSO algorithm

Weidong Zhang; Xianlin Huang; Xiaozhi Gao; Hongjun Pang

doi:10.1109/ChiCC.2015.7260001

Multi-objective longitudinal trajectory optimization for hypersonic reentry glide vehicle based on PSO algorithm

Weidong Zhang, Xianlin Huang, Xiaozhi Gao, Hongjun Pang

Department of Electrical Engineering and Automation

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

1 Citation (Scopus)

Abstract

For the purpose of solving the multi-objective reentry trajectory optimization problem with multiple path and terminal constraints for a hypersonic reentry-gliding vehicle, the energy-like dynamic equations are introduced by original time-varying equations so that the problem can be finally transformed to a non-linear program NLP problem with fixed terminal values. After that, a numerical optimization method based on PSO algorithm is considered, where the adaptive penalty technique and Normalized Non-dominated Sorting technique are used to handling the multi-constraints and multi-objectives, respectively. The simulation shows that the complete longitudinal multi-objective trajectories can be generated by the proposed algorithm and the optimized angles of attack can provide multiple references for practical engineering.

Original language	English
Title of host publication	Proceedings of the 34th Chinese Control Conference, CCC 2015
Pages	2350-2356
Number of pages	7
Volume	2015-September
ISBN (Electronic)	9789881563897
DOIs	https://doi.org/10.1109/ChiCC.2015.7260001
Publication status	Published - 11 Sep 2015
MoE publication type	A4 Article in a conference publication
Event	Chinese Control Conference - Hangzhou, China Duration: 28 Jul 2015 → 30 Jul 2015 Conference number: 34

Conference

Conference	Chinese Control Conference
Abbreviated title	CCC
Country/Territory	China
City	Hangzhou
Period	28/07/2015 → 30/07/2015

Keywords

energy-like dynamic equations
multi-objective trajectory optimization
NLP problem
PSO algorithm

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10.1109/ChiCC.2015.7260001

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title = "Multi-objective longitudinal trajectory optimization for hypersonic reentry glide vehicle based on PSO algorithm",

abstract = "For the purpose of solving the multi-objective reentry trajectory optimization problem with multiple path and terminal constraints for a hypersonic reentry-gliding vehicle, the energy-like dynamic equations are introduced by original time-varying equations so that the problem can be finally transformed to a non-linear program NLP problem with fixed terminal values. After that, a numerical optimization method based on PSO algorithm is considered, where the adaptive penalty technique and Normalized Non-dominated Sorting technique are used to handling the multi-constraints and multi-objectives, respectively. The simulation shows that the complete longitudinal multi-objective trajectories can be generated by the proposed algorithm and the optimized angles of attack can provide multiple references for practical engineering.",

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author = "Weidong Zhang and Xianlin Huang and Xiaozhi Gao and Hongjun Pang",

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doi = "10.1109/ChiCC.2015.7260001",

language = "English",

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Multi-objective longitudinal trajectory optimization for hypersonic reentry glide vehicle based on PSO algorithm. / Zhang, Weidong; Huang, Xianlin; Gao, Xiaozhi; Pang, Hongjun.

Proceedings of the 34th Chinese Control Conference, CCC 2015. Vol. 2015-September 2015. p. 2350-2356 7260001.

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

TY - GEN

T1 - Multi-objective longitudinal trajectory optimization for hypersonic reentry glide vehicle based on PSO algorithm

AU - Zhang, Weidong

AU - Huang, Xianlin

AU - Gao, Xiaozhi

AU - Pang, Hongjun

N1 - Conference code: 34

PY - 2015/9/11

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N2 - For the purpose of solving the multi-objective reentry trajectory optimization problem with multiple path and terminal constraints for a hypersonic reentry-gliding vehicle, the energy-like dynamic equations are introduced by original time-varying equations so that the problem can be finally transformed to a non-linear program NLP problem with fixed terminal values. After that, a numerical optimization method based on PSO algorithm is considered, where the adaptive penalty technique and Normalized Non-dominated Sorting technique are used to handling the multi-constraints and multi-objectives, respectively. The simulation shows that the complete longitudinal multi-objective trajectories can be generated by the proposed algorithm and the optimized angles of attack can provide multiple references for practical engineering.

AB - For the purpose of solving the multi-objective reentry trajectory optimization problem with multiple path and terminal constraints for a hypersonic reentry-gliding vehicle, the energy-like dynamic equations are introduced by original time-varying equations so that the problem can be finally transformed to a non-linear program NLP problem with fixed terminal values. After that, a numerical optimization method based on PSO algorithm is considered, where the adaptive penalty technique and Normalized Non-dominated Sorting technique are used to handling the multi-constraints and multi-objectives, respectively. The simulation shows that the complete longitudinal multi-objective trajectories can be generated by the proposed algorithm and the optimized angles of attack can provide multiple references for practical engineering.

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KW - multi-objective trajectory optimization

KW - NLP problem

KW - PSO algorithm

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BT - Proceedings of the 34th Chinese Control Conference, CCC 2015

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Y2 - 28 July 2015 through 30 July 2015

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Multi-objective longitudinal trajectory optimization for hypersonic reentry glide vehicle based on PSO algorithm

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Keywords

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