Self-sensing active magnetic bearing using wavelet based position estimation algorithm

Self-sensing active magnetic bearings (SSAMBs) replace the position sensor in conventional AMB by directly estimating the rotor position information from coil current. This method contributes to a more economical and reliable AMB system. But the unsatisfying dynamic and signal to noise (SNR) property are the main drawbacks in current SSAMB. So a Complex Morlet wavelet based position estimation algorithm is proposed in this paper to improve the low SNR problem of the PWM switching ripple based SSAMB system. Basic principles and simulation result are presented. And promising denoise property and satisfying dynamic performance are testified.