[1]蒋佩华,华冰,黄宇,等.基于遗传算法的变质量航天器姿态控制方法 [J].郑州大学学报(工学版),2019,40(04):1.[doi:10.13705/j.issn.1671-6833.2019.04.009]
　Jiang Peihua,Huabing,Huang Yu,et al.The Attitude Control Method of Variable Mass Spacecraft Based on Genetic Algorithm [J].Journal of Zhengzhou University (Engineering Science),2019,40(04):1.[doi:10.13705/j.issn.1671-6833.2019.04.009]
点击复制

基于遗传算法的变质量航天器姿态控制方法
()
分享到：

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
40
期数:
2019年04期
页码:
1
栏目:
出版日期:
2019-07-10

文章信息/Info

Title:
The Attitude Control Method of Variable Mass Spacecraft Based on Genetic Algorithm
作者:
蒋佩华; 华冰; 黄宇; 吴云华; 李剑飞; 张大伟
1. 南京航空航天大学航天学院;2. 北京空间飞行器总体设计部
Author(s):
Jiang Peihua 1; Huabing 1; Huang Yu 1; Wu Yunhua 1; Li Jianfei 2; Zhang Dawei 2
1. School of Astronautics, Nanjing University of Aeronautics and Astronautics; 2. Beijing Space Vehicle Overall Design Department
关键词:
变质量特性航天器; 遗传算法; 在轨服务; 姿态控制; 模型独立
Keywords:
Variable mass characteristic spacecraft; genetic algorithm; On-orbit service; attitude control; model independent
DOI:
10.13705/j.issn.1671-6833.2019.04.009
文献标志码:
A
摘要:
针对变质量特性航天器这类复杂且非线性不确定系统的高精度姿态控制问题,提出了基于传算法的模型独立姿态控制方法.该算法在航天器模型独立的基础上采用适应度比例法对拉制参数进行优化,不依赖航天器的质量参数辨识仿真结果表明,基于遗传算法的模型独立姿态控制方法能在控制力矩和角速度约束的条件下,对变质量特性航天器进行高精度姿态控制该算法对在轨服务航天器的使用具有重要价值
Abstract:
Abstract: A model independent attitude control method based on genetic algorithm(GA)was proposed to solve the high-precision attitude control problem of complex and nonlinear uncertain systems such as variable mass charactenstic spacecraft. The algorithm optimized the control parameters based on the indepen dent scale of the spacecraft model, without relying on the quality parameter identification of the spacecraft. The simulation results showed that the model independent attitude control method based on genetic algorithm could control the spacecraft with variable mass characteristics under the condition of controlling torque and angular velocity constraints. The algorithm would be of great value for the use of orbiting spacecraft.

相似文献/References:

[1]马欢张建伟赵进超.求解VRPSDP的变邻域混合遗传算法[J].郑州大学学报(工学版),2015,36(03):120.[doi:10.3969/ j. issn.1671 -6833.2015.03.026]
　MA Huan,ZHANG Jian-wei,ZHAO Jin-chao,et al.A Hybrid Genetic and Variable Neighborhood Descent Algorithm for VehicleRouting Problem with Simultaneous Delivery and Pickup[J].Journal of Zhengzhou University (Engineering Science),2015,36(04):120.[doi:10.3969/ j. issn.1671 -6833.2015.03.026]
[2]左士伟,杨胡萍,张扬,等.基于改进遗传算法的电力系统无功优化[J].郑州大学学报(工学版),2015,36(06):66.[doi:10.3969/j. issn.1671 -6833.2015.06.013]
　YANG Huping,Ll Weiren,ZUO Shiwei,et al.Reactive Power Optimization by Improved Genetic Algorithm Method[J].Journal of Zhengzhou University (Engineering Science),2015,36(04):66.[doi:10.3969/j. issn.1671 -6833.2015.06.013]
[3]陆森林,任栉翔.基于响应面法的车内噪声分析与优化[J].郑州大学学报(工学版),2017,38(05):65.[doi:10.13705/j.issn.1671-6833.2017.05.002]
　Lu Senlin,Ren Guxiang.Analysis and Optimization of Vehicle Inner Noise Based on Response Surface Method[J].Journal of Zhengzhou University (Engineering Science),2017,38(04):65.[doi:10.13705/j.issn.1671-6833.2017.05.002]
[4]蒋建东,王忆,张灵娟,等.基于遗传算法的背靠背换流站控制系统参数优化[J].郑州大学学报(工学版),2015,36(01):6.[doi:10.3969/ j. issn.1671 -6833.2015.01. 002]
　JIANG Jian-dong,WANG Yi,ZHANG Ling-juan,et al.Parameter Optimization of Control System for Back to Back Converter Station based on Genetic Algorithm[J].Journal of Zhengzhou University (Engineering Science),2015,36(04):6.[doi:10.3969/ j. issn.1671 -6833.2015.01. 002]
[5]穆瑞杰.基于遗传算法的地铁车站引导标识布点探析[J].郑州大学学报(工学版),2018,39(01):73.[doi:10.13705/j.issn.1671-6833.2018.01.019]
　Mu Ruijie.Analysis of Position Settings for Oriented Identifies of Subway Station[J].Journal of Zhengzhou University (Engineering Science),2018,39(04):73.[doi:10.13705/j.issn.1671-6833.2018.01.019]
[6]樊一娜,梁伟,黄渝清,等.基于IGA 的配电系统运行损耗与可靠性优化[J].郑州大学学报(工学版),2019,40(05):58.[doi:10.13705/j.issn.1671-6833.2019.05.009]
　Fan Yina,Liang Wei,Huang Yuqing,et al.Optimization of operation loss and reliability of power distribution system based on IGA[J].Journal of Zhengzhou University (Engineering Science),2019,40(04):58.[doi:10.13705/j.issn.1671-6833.2019.05.009]
[7]黄茜,王书勤,邓少鸿,等.不确定环境下救灾部队驻地选址及搜救路径优化[J].郑州大学学报(工学版),2021,42(05):44.[doi:10.13705/j.issn.1671-6833.2021.05.015]
　Huang Qian,Wang Shuqin,Deng Shaohong,et al.Study on Location-Routing Problem of Earthquake Relief Troops in Uncertain Unvironment[J].Journal of Zhengzhou University (Engineering Science),2021,42(04):44.[doi:10.13705/j.issn.1671-6833.2021.05.015]
[8]赵艳敏,霍达..基于遗传模拟退火算法的钢桁架结构优化设计[J].郑州大学学报(工学版),2011,32(06):54.
　ZHAO Yan-min,HUO Da.Optimal Design of Steel Truss Structure Based on Genetic Simulated Annealing Algorithm[J].Journal of Zhengzhou University (Engineering Science),2011,32(04):54.
[9]任松,姜德义,杨春和..基于遗传算法的浅埋隧道开挖地表沉降神经网络预测[J].郑州大学学报(工学版),2006,27(03):46.[doi:10.3969/j.issn.1671-6833.2006.03.011]
　Ren Song,JIANG Deyi,Yang Chunhe.Prediction of surface settlement neural network for shallow buried tunnel excavation based on genetic algorithm[J].Journal of Zhengzhou University (Engineering Science),2006,27(04):46.[doi:10.3969/j.issn.1671-6833.2006.03.011]
[10]杨丽娜,刘刚,王秋生..一种改进的遗传算法及其应用[J].郑州大学学报(工学版),2005,26(03):98.[doi:10.3969/j.issn.1671-6833.2005.03.026]
　Yang Lina,LIU Gang,Wang Qiusheng.An improved genetic algorithm and its application[J].Journal of Zhengzhou University (Engineering Science),2005,26(04):98.[doi:10.3969/j.issn.1671-6833.2005.03.026]

更新日期/Last Update: 2019-07-29