A wavelet based de-noising approach for real-time signal processing in switched reluctance motor drives

This work develops an application-aware approach to signal de-noising. The approach considers the way in which a signal from a sensor or receiver is processed and used in deciding how best to de-noise the signal. The benefits of the system-wide approach are illustrated through an application that processes raw indirect position feedback signals in a switched reluctance motor (SRM) drive. The results show that the application-aware de-noising scheme results in more noise reduction than can be obtained using a more conventional approach. The approach delivered a clean and useful estimated rotor position for the SRM that improved its output performance.