| 平流层飞艇巡航姿态自适应神经网络补偿控制 |
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| 引用本文： | 刘其睿,李勇.平流层飞艇巡航姿态自适应神经网络补偿控制[J].空间控制技术与应用,2009,35(4):34-38. |
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| 作者姓名： | 刘其睿 李勇 |
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| 作者单位： | 1. 北京控制工程研究所,北京100190;空间智能控制技术国家级
2. 中国空间技术研究院研究发展中心,北京,100094 |
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| 基金项目： | 中国空间技术研究院自主研发课题，国家自然科学基金 |
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| 摘 要： | 研究了一种基于自适应神经网络补偿的平流层飞艇前向速度与姿态控制系统设计方法。针对近似模型进行常规线性动态补偿器设计，并引入自适应径向基函数(Radial Basis Function, RBF)神经网络对模型误差进行补偿。根据Lyapunov方法得到神经网络权值自适应律，保证了闭环系统误差信号一致最终有界。该控制器设计对模型参数信息仅有较少的要求。仿真结果表明对于两类不同的飞艇模型，所设计的控制器在响应性及对未知环境风速作用的鲁棒性方面均具有良好的效果。
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| 关 键 词： | 平流层飞艇 巡航姿态 神经网络 |
Adaptive Neural Network Compensation for Stratospheric Airship Attitude Control of Cruising Phase |
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| LIU Qirui,LI Yong.Adaptive Neural Network Compensation for Stratospheric Airship Attitude Control of Cruising Phase[J].Aerospace Contrd and Application,2009,35(4):34-38. |
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| Authors: | LIU Qirui LI Yong |
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| Institution: | 1.Beijing Institute of Control Engineering;Beijing 100190;China;2.National Laboratory of Space Intelligent Control;3.R&D Center;China Academy of Space Technology;Beijing 100094;China |
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| Abstract: | By designing a speed and attitude control system based on the adaptive neural network compensation,this paper investigates the cruise tracking control problem for the stratospheric airship.An adaptive RBFNN(radial basis function neural network) is used to compensate modeling errors,which come from the approximate model applied to a regular linear controller design.The network weight adaptation law,derived from the Lyapunov stability analysis,guarantees that the tracking errors are ultimately bounded.Simulat... |
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| Keywords: | stratospheric airship cruise tracking neural network adaptive control |
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