Active-Flux-Based Motion-Sensorless Control of PMSM Using Moving Horizon Estimator

This paper deals with an 'active flux' model-based approach for state estimation of Permanent Magnet Synchronous Motors to build up sensorless drives. The active-flux vector is aligned to the rotor d-axis for all synchronous machines. In this way, the rotor position and speed observer seems more amenable to a wide speed range, with smaller dynamic errors. A Moving Horizon Estimation algorithm, an optimization-based scheme that yields good performance, is applied for the speed and rotor position estimation. Under assumptions, an optimal problem of Equality Constrained Quadratic Programming type has been solved each iteration. The algorithm has been efficiently implemented and tested for both Surface and Interior Permanent Magnet Synchronous Motors, demonstrating the real-time feasibility the proposed approach at 10 kHz sampling rate.