Abstract

Efficiency Improvement is an essential objective of today's industrial world. Among the many techniques for minimization methods (LMM), a loss-model controller (LMC) has some advantages: high accuracy and fast response. However. the accuracy of LMM is very depended on the precision of the parameters. On the other hand, among different models of the loss, the parameters of the flux-based model are more uncertain because they need accurate magnetic analysis. This model is used for model predictive torque and flux control (MPC) more prevalently. In this research, in order to solve this drawback, a new flux optimization approach is presented for MPC. This matter has been fulfilled by dividing the consubstantial parameters. Besides, the need for the eddy current and hysteresis coefficients calculations have been removed by substitution of iron core loss resistance. By this approach, in a way, the estimation accuracy of iron core loss will increase. Simulations and experiments have used for performance verifying of the proposed method. For more accuracy. the parameters of the simulated motor are identified by analyzing an induction motor (IM) in ANSYS Maxwell.