Joint Trajectory Planning of Space Modular Reconfigurable Satellites Based on Kinematic Model

This paper investigates the application of particle swarm optimization (PSO) algorithm to plan joint trajectories of the space modular reconfigurable satellite (SMRS). SMRS changes its configuration by joint motions to complete various space missions; its movement stability is affected by joints mot...

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Main Authors: Jiping An, Xinhong Li, Zhibin Zhang, Wanxin Man, Guohui Zhang
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2020/8872788
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author Jiping An
Xinhong Li
Zhibin Zhang
Wanxin Man
Guohui Zhang
author_facet Jiping An
Xinhong Li
Zhibin Zhang
Wanxin Man
Guohui Zhang
author_sort Jiping An
collection DOAJ
description This paper investigates the application of particle swarm optimization (PSO) algorithm to plan joint trajectories of the space modular reconfigurable satellite (SMRS). SMRS changes its configuration by joint motions to complete various space missions; its movement stability is affected by joints motions because of the dynamic coupling effect in space. To improve the movement stability in reconfiguration progress, this paper establishes the optimization object equation to characterize the movement stability of SMRS in its reconfiguration process. The velocity-level and position-level kinematic models based on the proposed virtual joint coordinate system of SMRS are derived. The virtual joint coordinate system solves the problem of asymmetric joint coordinate system resulted by the asymmetric joint arrangement of SMRS. The six-order and seven-order polynomial curves are chosen to parameterize the joint trajectories and ensure the continuous position, velocity, and acceleration of joint motions. Finally, PSO algorithm is used to optimize the trajectory parameters in two cases. Consistent optimization results in terms of the six-order and seven-order polynomial in both cases prove the PSO algorithm can be effectively used for joint trajectory planning of SMRS.
format Article
id doaj-art-8adaa0f46ff14a9fbd899b35dfd3f69f
institution Kabale University
issn 1687-5966
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language English
publishDate 2020-01-01
publisher Wiley
record_format Article
series International Journal of Aerospace Engineering
spelling doaj-art-8adaa0f46ff14a9fbd899b35dfd3f69f2025-02-03T06:05:42ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742020-01-01202010.1155/2020/88727888872788Joint Trajectory Planning of Space Modular Reconfigurable Satellites Based on Kinematic ModelJiping An0Xinhong Li1Zhibin Zhang2Wanxin Man3Guohui Zhang4Department of Aerospace Science and Technology, Space Engineering University, Beijing 101416, ChinaDepartment of Aerospace Science and Technology, Space Engineering University, Beijing 101416, ChinaDepartment of Aerospace Science and Technology, Space Engineering University, Beijing 101416, ChinaDepartment of Aerospace Science and Technology, Space Engineering University, Beijing 101416, ChinaDepartment of Aerospace Science and Technology, Space Engineering University, Beijing 101416, ChinaThis paper investigates the application of particle swarm optimization (PSO) algorithm to plan joint trajectories of the space modular reconfigurable satellite (SMRS). SMRS changes its configuration by joint motions to complete various space missions; its movement stability is affected by joints motions because of the dynamic coupling effect in space. To improve the movement stability in reconfiguration progress, this paper establishes the optimization object equation to characterize the movement stability of SMRS in its reconfiguration process. The velocity-level and position-level kinematic models based on the proposed virtual joint coordinate system of SMRS are derived. The virtual joint coordinate system solves the problem of asymmetric joint coordinate system resulted by the asymmetric joint arrangement of SMRS. The six-order and seven-order polynomial curves are chosen to parameterize the joint trajectories and ensure the continuous position, velocity, and acceleration of joint motions. Finally, PSO algorithm is used to optimize the trajectory parameters in two cases. Consistent optimization results in terms of the six-order and seven-order polynomial in both cases prove the PSO algorithm can be effectively used for joint trajectory planning of SMRS.http://dx.doi.org/10.1155/2020/8872788
spellingShingle Jiping An
Xinhong Li
Zhibin Zhang
Wanxin Man
Guohui Zhang
Joint Trajectory Planning of Space Modular Reconfigurable Satellites Based on Kinematic Model
International Journal of Aerospace Engineering
title Joint Trajectory Planning of Space Modular Reconfigurable Satellites Based on Kinematic Model
title_full Joint Trajectory Planning of Space Modular Reconfigurable Satellites Based on Kinematic Model
title_fullStr Joint Trajectory Planning of Space Modular Reconfigurable Satellites Based on Kinematic Model
title_full_unstemmed Joint Trajectory Planning of Space Modular Reconfigurable Satellites Based on Kinematic Model
title_short Joint Trajectory Planning of Space Modular Reconfigurable Satellites Based on Kinematic Model
title_sort joint trajectory planning of space modular reconfigurable satellites based on kinematic model
url http://dx.doi.org/10.1155/2020/8872788
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AT xinhongli jointtrajectoryplanningofspacemodularreconfigurablesatellitesbasedonkinematicmodel
AT zhibinzhang jointtrajectoryplanningofspacemodularreconfigurablesatellitesbasedonkinematicmodel
AT wanxinman jointtrajectoryplanningofspacemodularreconfigurablesatellitesbasedonkinematicmodel
AT guohuizhang jointtrajectoryplanningofspacemodularreconfigurablesatellitesbasedonkinematicmodel