Back-EMF Based Self-Sensing Vector Control for Ultra-High-Speed Surface Mount PMSM

This paper presents an improved rotor position estimation algorithm for ultra-high-speed surface mount permanent magnet synchronous machines (SPMSM). The proposed approach combines a synchronous frame back-EMF state filter and a motion observer structure to accurately estimate rotor position at speeds above 80 kRPM, where conventional position sensing techniques struggle. The state filter and motion observer are designed directly in the discrete domain considering necessary latch dynamics and computational delays. Simulation results for a 2-pole SPMSM show stable performance and close to zero phase lag position estimation at a fundamental frequency of 2.6 kHz. The implementation ensures stable control performance at sampling to fundamental frequency ratios as low as 5. Experimental validation of the proposed algorithm has been presented. The proposed methodology is a significant advancement toward precise and reliable rotary motion state estimation for ultra-high speed SPMSMs.