| 利用神经网络自适应逆控制消除干扰和噪声 |
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| 引用本文： | 王启志,王晓霞. 利用神经网络自适应逆控制消除干扰和噪声[J]. 江南大学学报(自然科学版), 2005, 4(5): 469-471 |
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| 作者姓名： | 王启志 王晓霞 |
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| 作者单位： | 华侨大学,机电及自动化学院,福建,泉州,362021 |
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| 基金项目： | 国务院侨务办公室科研基金项目（04QZR06）资助课题. |
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| 摘 要： | 神经网络的自适应逆控制具有对鲁棒性高、自适应能力强和难以精确建立数学模型的工业对象,尤其是大滞后、非线性、不确定性及时变的对象.利用BP神经网络构成逆控制器,提出一种基于神经网络的模型参考自适应逆控制系统.仿真实验表明,此系统具有良好的消除对象干扰和敏感噪声的作用,可以在工业控制中广泛应用.
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| 关 键 词： | 自适应逆控制 神经网络 控制系统 |
| 文章编号： | 1671-7147（2005）05-0469-03 |
| 收稿时间： | 2004-12-20 |
| 修稿时间： | 2004-12-202005-01-25 |
Cancel the Plant Disturbance and Noise by Using Adaptive Inverse Control Based on Neural Net Work |
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| WANG Qi-zhi,WANG Xiao-xia. Cancel the Plant Disturbance and Noise by Using Adaptive Inverse Control Based on Neural Net Work[J]. Journal of Southern Yangtze University:Natural Science Edition, 2005, 4(5): 469-471 |
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| Authors: | WANG Qi-zhi WANG Xiao-xia |
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| Affiliation: | College of Mechanical and Automation, Huaqiao University , Quanzhou 362021, China |
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| Abstract: | Adaptive inverse control based on the neural network has the virtue of high robustness and adaptability. It is suitable to apply in industrial plant which has the character of time delay, inertion, time- varying property and uncertainty. It will possess the good control character in industrial process control. A method of model reference adaptive inverse control based on neural network is given. The simulation shows that plant disturbance and noise. It can be widely this method has the good effect of elimination the applied in industrial process. |
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| Keywords: | adaptive inverse control neural network~ control system |
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