Permanent Magnet Synchronous Motor Rotor Position Estimation Using Fuzzy-Based Sliding Mode Observer

This work realizes position sensorless control of a permanent magnet synchronous motor (PMSM) using fuzzy-based sliding mode observer that estimates the rotor position. The system is modelled using $\alpha-\beta$ reference frame. The proposed system estimates the gain of the sliding surface using fuzzy inference system in contrast to the conventional sliding mode observer (SMO), where the gain is arbitrarily selected. Using an in-built motor model in Matlab environment as a base, the performances of the two systems in estimating the rotor position are compared. The results showed that the fuzzy approach produces better estimation than the conventional approach.