Predictive Torque Control of SynRM Drives with online MTPA Trajectory Tracking and Inductances Estimation

This paper proposes a new predictive torque control algorithm for synchronous reluctance motor drives with the ability to track online the maximum torque per ampere trajectory. An additional term is included in the cost function of the predictive control algorithm which uses an adaptive weighting factor to improve the dynamic behavior of the drive system. As the derivative of torque with respect to the current angle depends on the values of the apparent and incremental inductances, the apparent inductances are estimated online based on the values of the flux linkage and current components while the incremental inductances are estimated using a recursive least squares (RLS) algorithm. Experimental results validate the proposed control algorithm and demonstrate a remarkable performance both in steady-state and during transients, as well as a reduction of the current ripple and audible noise.