Sensorless Speed Estimation of Brushless Doubly-Fed Reluctance Generator Using Active Power Based Mras by Pi and Anfis Controller

This paper proposes the principles of sensorless speed estimation of BDFRG based on the model reference adaptive system (MRAS), using the efficient real powers from the d and q circuits. The functional part of the MRAS is given by the difference of the active powers of the secondary d-q circuits. In this paper the speed error, angular position, primary and secondary d and q currents, torque, real power and reactive power to be measured at different operating conditions. The analysis is confirmed through comparison of various simulations using both PI controller and ANFIS controller.