| 基于神经网络的直流电机模型辨识及应用 |
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| 引用本文： | 王军琴. 基于神经网络的直流电机模型辨识及应用[J]. 内蒙古环境科学, 2009, 0(3) |
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| 作者姓名： | 王军琴 |
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| 作者单位： | 西安文理学院机械电子工程系 |
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| 基金项目： | 西安文理学院专项科研基金资助项目(KY200522) |
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| 摘 要： | 为了提高控制系统的控制性能,实现自适应控制,提出了一种基于神经网络模型的参数辨识方法.首先,为一台未知参数的直流电机设计了基于DSP(数字信号处理器)的控制器,再通过采集卡获取大量的实时观测数据,然后对数据进行预处理,将预处理后的数据按照神经网络辨识的原理完成模型辨识.通过比较直流电机实际阶跃响应与模型阶跃响应,对辨识模型进行检验,最后设计了该系统的PI校正装置.结果表明该方法可操作性强、辨识精度高、应用性强.
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| 关 键 词： | 神经网络 直流电机 参数辨识 数字信号处理器 |
Model Identification and Application of DC Machine Based on Neural Network |
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| WANG Jun-qin. Model Identification and Application of DC Machine Based on Neural Network[J]. Inner Mongolia Environmental Protection, 2009, 0(3) |
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| Authors: | WANG Jun-qin |
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| Affiliation: | WANG Jun-qin (Department of Mechanical and Electronic Engineering; Xi an University of Arts and Science; Xi an 710065; China); |
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| Abstract: | In order to improve performance criteria of controlling system,and realize adaptive control,this article proposes a model parameter identification method on the basis of neural networks.Firstly,controller is designed based on DSP for an unknown parameters machine.Secondly,a great number of practical observation data are obtained though the high-speed DAS card.Then the data is preprocessed,and the model identification of the preprocessed data is carried out according to the theory of neural network identific... |
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| Keywords: | neural network DC machine parameter identification digital signal processor |
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