A nonlinear adaptive controller for speed sensorless PMSM taking the iron loss resistance into account

In this paper, based on input-output feedback control (IOFC), and recursive least square (RLS) method, an adaptive nonlinear controller is designed for rotor surface permanent magnet synchronous motor (SPMSM) drive. The RLS estimator online detects the motor electromechanical parameters including the motor iron loss resistance. Moreover, a sliding-mode (SM) observer is developed for online detecting the rotor speed and rotor position. In this control scheme, the torque reference signal is obtained by a conventional speed PI controller. The effectiveness and feasibility of the proposed control approach is tested by simulation. Computer simulation results obtained, show that the errors in the estimated quantities asymptotically converge to zero. The results also show that the drive system is stable and robust against the parameter uncertainties and external load disturbance.