| 基于BP神经网络在线辨识的开关磁阻电机神经网络自适应PID控制 |
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| 引用本文： | 吴建. 基于BP神经网络在线辨识的开关磁阻电机神经网络自适应PID控制[J]. 电气自动化, 2009, 31(2): 33-34,42 |
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| 作者姓名： | 吴建 |
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| 作者单位： | 镇江市高等专科学校,江苏镇江,212003 |
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| 摘 要： | 基于开关磁阻电机的高度非线性的电磁特性，固定参数的PID调节器无法得到理想的控制性能指标，该文提出了一种基于BP神经网络在线辨识的SRM神经网络PID自适应控制新方法。实验结果表明，利用BP神经网络来构成开关磁阻电机的神经网络自适应控制器，不但结构简单，而且能适应环境变化，具有较强的鲁棒性。
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| 关 键 词： | 开关磁阻电机 BP神经网络 PID控制 |
PID Controller of Back Propagation Neural Network Control for SRM Based on BP Neural Network on-line Identification |
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| Wu Jian. PID Controller of Back Propagation Neural Network Control for SRM Based on BP Neural Network on-line Identification[J]. Electrical Automation, 2009, 31(2): 33-34,42 |
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| Authors: | Wu Jian |
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| Affiliation: | (Zhenjiang College,Zhenjiang 212003,China) Wu Jian |
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| Abstract: | Based on SRM high nonlinear electromagnetism characteristics,PID controller with fixed parameter can't achieve good performance index. This paper presents a novel approach of back propagation neural network PID adaptive control for SRM based on BP neural network on-line identification.Experiments show that the method useed BP neural network to construct the adaptive controller of SRM has the advantages of simple construction,adaptability and robustness |
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| Keywords: | switched reluctance motor back propagation neural network PID controller |
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