沈阳工业大学学报2011，Vol.33Issue(1)：25-30,6.
小波变换和改进谐波法的感应电动机转速辨识
Speed identification of induction motor based on wavelet transform and improved harmonic method
摘要
Abstract
Aiming at the problem that the open-loop and closed-loop control of induction motor speed sensorless depends on the mathematical model, a digital low-pass filter composed of adaptive neural network and wavelet transform was built.The improved rotor slot harmonic speed identification method based on stator magnetic field orientation was proposed.The stator flux was identificated by the wavelet transform.The digital low-pass filter was used to eliminate the influences of such disturbance factors as the harmonic signal,white noise and frequency variation, and thus ensure the accurate extraction of rotor slot harmonic voltage.The simulation and experimental results show that the present method has strong robustness and the signals can be detected under strong noise.Thus, the speed identification accuracy is effectively enhanced, the speed can be adjusted in the wider range, and the dynamic performance and low speed performance get improved.关键词
无速度传感器/改进转子槽谐波法/定子磁链/小波变换/转速辨识/自适应神经网络/数字低通滤波器/调速性能分类
信息技术与安全科学引用本文复制引用
沈显庆,王成元..小波变换和改进谐波法的感应电动机转速辨识[J].沈阳工业大学学报,2011,33(1):25-30,6.基金项目
国家自然科学基金资助项目(50375102) （50375102）
黑龙江省自然科学基金资助项目(E2007-34). （E2007-34）
