| 一种基于RBF神经网络无位置传感器控制 |
| |
| 引用本文： | 刘小虎,谭笑.一种基于RBF神经网络无位置传感器控制[J].船电技术,2010,30(10):33-35,38. |
| |
| 作者姓名： | 刘小虎 谭笑 |
| |
| 作者单位： | 海军工程大学管理工程系,武汉,430033;海军工程大学管理工程系,武汉,430033 |
| |
| 摘 要： | 利用人工神经网络在处理非线性、不确定问题上的优势,提出一种基于FRA优化的RBF神经网络实现无刷直流电机的无位置传感器控制,通过对电机相电压和相电流的映射,估算出准确的电机换相信号。实验结果验证了本文方法的有效性。
|
| 关 键 词： | 无刷直流电机 无位置传感器 径向基 快速回归算法 神经网络 |
A Sensorless Control Strategy of Brushless DC Motor Based on RBF Neural Network Optimized |
| |
| Liu Xiaohu,Tan Xiao.A Sensorless Control Strategy of Brushless DC Motor Based on RBF Neural Network Optimized[J].Marine Electric & Electronic Technology,2010,30(10):33-35,38. |
| |
| Authors: | Liu Xiaohu Tan Xiao |
| |
| Institution: | Liu Xiaohu,Tan Xiao (Department of Management Science,Naval University of Engineering,Wuhan 430033,China) |
| |
| Abstract: | In order to obtain the position information of brushless DC motor for position sensorless control,and to take advantage of neural network which is excellent for nonlinear and indeterminate problem,a sensorless control strategy of brushless DC motor based on RBF neural network optimized by fast recursive algorithm is proposed in this paper.The strategy estimated the commutation signals by mapping phase currents and phase voltages of motor through RBFNN,and experimental results validates the proposed control ... |
| |
| Keywords: | brushless DC motor sensorless radial basis function fast recursive algorithm neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
