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挠性卫星姿态跟踪自适应L2增益控制
引用本文:肖冰,胡庆雷,马广富.挠性卫星姿态跟踪自适应L2增益控制[J].控制理论与应用,2011,28(1):101-107.
作者姓名:肖冰  胡庆雷  马广富
作者单位:哈尔滨工业大学,控制科学与工程系,黑龙江哈尔滨,150001
基金项目:国家自然科学基金资助项目(60774062); 高等学校博士学科点专项科研基金资助项目(20070213061); 教育部留学回国人员科研启动基金资助项目; 黑龙江省留学回国人员科学基金资助项目(LC08C01).
摘    要:针对在轨挠性卫星姿态跟踪时存在参数不确定、外部干扰以及控制输入受限等问题,提出了一种自适应L2增益控制方法.首先利用神经网络来逼近系统中的未知非线性动态特性,设计自适应控制律来处理系统中的不确定参数:其次设计了一鲁棒控制器使得干扰力矩对系统性能输出具有L2增益,从而实现对干扰的抑制控制.最后通过引入附加的输入误差系统,...

关 键 词:挠性卫星  姿态跟踪  自适应  L2增益  神经网络  输入受限
收稿时间:2009/6/23 0:00:00
修稿时间:2010/1/23 0:00:00

Adaptive L-two-gain controller for flexible spacecraft attitude tracking
XIAO Bing,HU Qing-lei and MA Guang-fu.Adaptive L-two-gain controller for flexible spacecraft attitude tracking[J].Control Theory & Applications,2011,28(1):101-107.
Authors:XIAO Bing  HU Qing-lei and MA Guang-fu
Affiliation:Department of Control Science and Engineering, Harbin Institute of Technology,Department of Control Science and Engineering, Harbin Institute of Technology,Department of Control Science and Engineering, Harbin Institute of Technology
Abstract:An adaptive L-two-gain controller is proposed for the attitude tracking of flexible spacecraft with external disturbances and input constraint. Neural networks are employed for the approximation of unknown system dynamics; an adaptive controller is developed to learn the undetermined parameters. Secondly, a robust controller is designed to achieve the L-two tracking performance with a desired disturbance-attenuation level. Finally, to treat the input constraint problem, the system is augmented with an auxiliary input signal error system. An improved adaptive L-two-gain controller is adopted to rapidly recover the unconstrained input signal when it goes beyond the input constraints. Simulations are carried out to study the effectiveness of the proposed control scheme; results show the theoretical and practical advantages of this approach.
Keywords:flexible spacecraft  attitude tracking  adaptive  L-two-gain  neural network  input constraints
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