On signal denoising using quasi real-time wavelet algorithm in PMSM traction system

The performance of permanent magnet synchronous motor (PMSM) vector control system was studied, which is with noise of current sensors. Using wavelet denoising theory, a quasi real-time Wavelet denoising arithmetic was proposed, based on the nonlinear wavelet threshold denoising method. A PMSM vector control traction system model has been established to analyze the influence of system performance with noise of current sensors. And using quasi real-time Wavelet denoising arithmetic, it accomplishes closed loop control in PMSM traction system with the noise. The simulation results show that the arithmetic can effectively decrease the influence of noise of current sensors, achieve real-time requirement and enhance the stability of PMSM traction system.