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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
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
作者姓名:吴建
作者单位:镇江市高等专科学校,江苏镇江,212003
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。

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
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
Authors:Wu Jian
Affiliation:(Zhenjiang College,Zhenjiang 212003,China) Wu Jian
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
Keywords:switched reluctance motor  back propagation neural network  PID controller  
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