热力发电2017，Vol.46Issue(12)：117-122,6.DOI:10.3969/j.issn.1002-3364.2017.12.117
基于模糊控制及神经网络的开关磁阻电机转子位置估计
Rotor position estimation for switched reluctance motor based on fuzzy control
and neural network
聂鹏 1金文博 2蒋世希 1陈渝楠 1张磊1
作者信息
- 1. 西安热工研究院有限公司,陕西西安 710054
- 2. 北京华能新锐控制技术有限公司,北京 102209
- 折叠
摘要
Abstract
The operation of switched reluctance motor (SRM) requires a position sensor, but the position sensors will increase the system cost and complexity and reduce the reliability. Thus, carrying out rotor position estimation and making the SRM run independently from the position sensors is worthwhile researching. According to the feature of neural network which can approach any nonlinear function precisely, a rotor position estimation model based on fuzzy logic control model and neural network theory was established. Moreover, on the MATLAB/Simulink platform, the SRM rotor position estimation system with 60 kW and 6/4 pole was simulated. The simulation results show that, this estimation system can accurately predict the position angle of the SRM rotor, with an error of 2° and mean square error of 0.7144. Furthermore, this estimation system was used to control the SRM, and the results show the motor's three-phase current output is uniform, the torque ripple is small, and the whole operation process is stable.关键词
模糊控制/神经网络/开关磁阻电机/转子位置估计/Simulink/非线性函数Key words
fuzzy control/neural network/switched reluctance motor/rotor position estimation/Simulink/nonlinear function分类
信息技术与安全科学引用本文复制引用
聂鹏,金文博,蒋世希,陈渝楠,张磊..基于模糊控制及神经网络的开关磁阻电机转子位置估计[J].热力发电,2017,46(12):117-122,6.
