Multiconstrained Ascent Trajectory Optimization Using an Improved Particle Swarm Optimization Method

This paper researches the ascent trajectory optimization problem in view of multiple constraints that effect on the launch vehicle. First, a series of common constraints that effect on the ascent trajectory are formulated for the trajectory optimization problem. Then, in order to reduce the computat...

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Main Authors: Mu Lin, Zhao-Huanyu Zhang, Hongyu Zhou, Yongtao Shui
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2021/6647440
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author Mu Lin
Zhao-Huanyu Zhang
Hongyu Zhou
Yongtao Shui
author_facet Mu Lin
Zhao-Huanyu Zhang
Hongyu Zhou
Yongtao Shui
author_sort Mu Lin
collection DOAJ
description This paper researches the ascent trajectory optimization problem in view of multiple constraints that effect on the launch vehicle. First, a series of common constraints that effect on the ascent trajectory are formulated for the trajectory optimization problem. Then, in order to reduce the computational burden on the optimal solution, the restrictions on the angular momentum and the eccentricity of the target orbit are converted into constraints on the terminal altitude, velocity, and flight path angle. In this way, the requirement on accurate orbit insertion can be easily realized by solving a three-parameter optimization problem. Next, an improved particle swarm optimization algorithm is developed based on the Gaussian perturbation method to generate the optimal trajectory. Finally, the algorithm is verified by numerical simulation.
format Article
id doaj-art-1d04d911f7bb44be903764eaf0ee5d68
institution Kabale University
issn 1687-5966
1687-5974
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series International Journal of Aerospace Engineering
spelling doaj-art-1d04d911f7bb44be903764eaf0ee5d682025-02-03T01:32:25ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742021-01-01202110.1155/2021/66474406647440Multiconstrained Ascent Trajectory Optimization Using an Improved Particle Swarm Optimization MethodMu Lin0Zhao-Huanyu Zhang1Hongyu Zhou2Yongtao Shui3National University of Defense Technology, Changsha, ChinaSchool of Astronautics, Harbin Institute of Technology, Harbin, ChinaSchool of Astronautics, Harbin Institute of Technology, Harbin, ChinaSchool of Astronautics, Harbin Institute of Technology, Harbin, ChinaThis paper researches the ascent trajectory optimization problem in view of multiple constraints that effect on the launch vehicle. First, a series of common constraints that effect on the ascent trajectory are formulated for the trajectory optimization problem. Then, in order to reduce the computational burden on the optimal solution, the restrictions on the angular momentum and the eccentricity of the target orbit are converted into constraints on the terminal altitude, velocity, and flight path angle. In this way, the requirement on accurate orbit insertion can be easily realized by solving a three-parameter optimization problem. Next, an improved particle swarm optimization algorithm is developed based on the Gaussian perturbation method to generate the optimal trajectory. Finally, the algorithm is verified by numerical simulation.http://dx.doi.org/10.1155/2021/6647440
spellingShingle Mu Lin
Zhao-Huanyu Zhang
Hongyu Zhou
Yongtao Shui
Multiconstrained Ascent Trajectory Optimization Using an Improved Particle Swarm Optimization Method
International Journal of Aerospace Engineering
title Multiconstrained Ascent Trajectory Optimization Using an Improved Particle Swarm Optimization Method
title_full Multiconstrained Ascent Trajectory Optimization Using an Improved Particle Swarm Optimization Method
title_fullStr Multiconstrained Ascent Trajectory Optimization Using an Improved Particle Swarm Optimization Method
title_full_unstemmed Multiconstrained Ascent Trajectory Optimization Using an Improved Particle Swarm Optimization Method
title_short Multiconstrained Ascent Trajectory Optimization Using an Improved Particle Swarm Optimization Method
title_sort multiconstrained ascent trajectory optimization using an improved particle swarm optimization method
url http://dx.doi.org/10.1155/2021/6647440
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AT zhaohuanyuzhang multiconstrainedascenttrajectoryoptimizationusinganimprovedparticleswarmoptimizationmethod
AT hongyuzhou multiconstrainedascenttrajectoryoptimizationusinganimprovedparticleswarmoptimizationmethod
AT yongtaoshui multiconstrainedascenttrajectoryoptimizationusinganimprovedparticleswarmoptimizationmethod