基于小波神经网络的定子电阻参数辨识的研究
Research on Parameter Identification of the Stator Resistance Based on Wavelet Neural Networks
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摘要: 提出了基于小波神经网络的定子电阻在线检测方案，小波神经网络采用递推正交最小二乘法训练之后，可用于对定子电阻的辨识．仿真实验结果表明该辨识器能够精确辨识定子电阻值，从而有效地改善了直接转矩控制系统的低速性能．Abstract: In this paper,a kind of WNN(wavelet neural network)is presented for resistance on-line identification.After trained with the R OLS(recursive orthogonal least square)algorithm,the network can be used to measure the value of resistance.Simulation results show that this detector can precisely measure the value of resistance and effectively improve the low-speed p erformance of DTC(direct torsion control)system.
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