| 基于在线神经网络的自适应控制器的设计与应用 |
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| 引用本文： | 唐超颖,王彪. 基于在线神经网络的自适应控制器的设计与应用[J]. 华南理工大学学报(自然科学版), 2006, 34(6): 34-38 |
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| 作者姓名： | 唐超颖 王彪 |
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| 作者单位： | 南京航空航天大学,自动化学院,江苏,南京,210016;南京航空航天大学,自动化学院,江苏,南京,210016 |
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| 基金项目： | 南京航空航天大学校科研和教改项目 |
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| 摘 要： | 针对线性控制系统自适应性较弱的缺点，在其基础上设计了一种基于在线神经网络的自适应控制器．该控制器根据被控对象和参考模型之间的误差调整网络权值，在线抵消被控对象的未建模动态特性和不确定因素．文中以某小卫星姿态控制系统为例，对所提出的自适应控制器进行设计和仿真．结果表明，神经网络以很高的精度跟踪和在线补偿不确定项，改善了线性控制系统的动态性能．
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| 关 键 词： | 神经网络 自适应控制 线性控制 小卫星姿态控制 |
| 文章编号： | 1000-565X（2006）06-0034-05 |
| 收稿时间： | 2005-09-02 |
| 修稿时间： | 2005-09-02 |
Design and Application of On-Line Neural Network-Based Adaptive Controller |
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| Tang Chao-ying,Wang Biao. Design and Application of On-Line Neural Network-Based Adaptive Controller[J]. Journal of South China University of Technology(Natural Science Edition), 2006, 34(6): 34-38 |
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| Authors: | Tang Chao-ying Wang Biao |
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| Affiliation: | College of Automation Engineering, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China |
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| Abstract: | An on-line neural network-based adaptive controller is presented to solve the problem of weak adaptability of existing linear control systems. The network weights are regulated according to the error between the reference model and the plant, and the structural uncertainties and unknown disturbances are counteracted on line by the neural network. The proposed controller is then designed and simulated with the attitude control of a spacecraft as an example. The results indicate that the uncertainties are tracked and compensated on line by the neural network with high accuracy and the dynamic performance of the linear control system is considerably improved. |
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| Keywords: | neural network adaptive control linear control spacecraft attitude control |
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