Optimal control of rotor position estimation considering the influence of air gap changes in BSRMWR

The research addresses the issue of fluctuation in non-conductive phase response current peaks due to unstable levitation force during the startup phase of the Bearingless Switched Reluctance Motor with Wide Rotor Teeth (BSRMWR) in traditional pulse injection methods. This fluctuation results in increased errors in logical judgment and rotor position estimation. To tackle this problem, an optimized rotor position estimation method based on pulse injection is proposed. This method utilizes an adaptive filtering LMS algorithm to construct a mathematical model for the variation in inductance caused by levitation force fluctuations. It dynamically adjusts filter parameters to effectively eliminate interference signals within the response current peaks. Simulation experiments confirm the method’s effectiveness in reducing rotor position estimation errors caused by interference signals, providing a viable technical approach to addressing instability during the startup phase.