An adaptive sliding mode observer for sensorless vector control of surface-mounted PMSM

In this paper, a sensorless control method of surface-mounted permanent-magnet synchronous motors (SPMSM) based on an adaptive sliding mode observer (SMO) is proposed. In the adaptive SMO system, the error between the actual current and the estimated current is fed to a PI controller for extracting rotor speed and position. Comparing with the conventional SMO, the low pass filter (LPF) and the additional rotor position compensation are omitted in the proposed algorithm. And the estimated performance in the adaptive SMO is improved. The stability of the adaptive SMO is verified by the Lyapunov function. The simulation results show the validity of the proposed algorithm.