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Robust Sensorless Speed Control of Synchronous Reluctance Motor using Modified Moving Horizon Estimation Method

This paper illustrates the sensorless speed control of Synchronous reluctance motor (SynRM) using the Moving Horizon Estimation (MHE) based Kalman Filter (KF) method under sensor and process noise. The optimal estimation of the rotor speed and position is attained by minimizing the error between measured and estimated stator currents as a modified cost function, within a finite time horizon. The modified cost function includes the updation of kalman gain constant to enrich the estimation of speed variable even under noisy conditions. The proposed MHE based sensorless method is validated by performing speed control using cascaded PI based speed and current controllers for SynRM, in extensive fixed-step MATLAB simulation environment