| 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.[点击复制] |
| XIAO Bing,HU Qing-lei,MA Guang-fu.Adaptive L-two-gain controller for flexible spacecraft attitude tracking[J].Control Theory and Technology,2011,28(1):101~107.[点击复制] |
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| 挠性卫星姿态跟踪自适应L2增益控制 |
| Adaptive L-two-gain controller for flexible spacecraft attitude tracking |
| 摘要点击 2420 全文点击 2464 投稿时间：2009-06-23 修订日期：2010-01-23 |
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| DOI编号 10.7641/j.issn.1000-8152.2011.1.CCTA090821 |
| 2011,28(1):101-107 |
| 中文关键词 挠性卫星 姿态跟踪 自适应 L2增益 神经网络 输入受限 |
| 英文关键词 flexible spacecraft attitude tracking adaptive L-two-gain neural network input constraints |
| 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). |
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| 中文摘要 |
| 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, 设计自适应L2增益控制器, 使得当控制输入一旦超出幅值限制时能够立刻恢复到限制范围内, 实现对输入受限问题的解决. 仿真结果表明, 该控制方法能够实现高精度的姿态跟踪控制, 具有一定的可行性和有效性. |
| 英文摘要 |
| 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. |