Simplified Modulated Model Predictive Control of Synchronous Reluctance Motor

Modulated model predictive control (M
²
PC) method is a solution to achieve a fixed switching frequency for model predictive control. This method, compared to the conventional finite control set model predictive control (FCS-MPC,) has a less THD and ripple for the outputs. In the FCS-MPC method, a cost function is used to determine the optimal vector in every sampling interval. But in the M
²
PC method, in which a modulator is utilized, three cost functions are used instead of one to determine the optimum vectors. The M
²
PC method resolves some problems of the FCS-MPC method. But because it has a high computational volume, it is more difficult to implement and it costs more. This paper presents a simplified modulated model predictive control (SM
²
PC) strategy to reduce the computations. This method is applied to the control of synchronous reluctance motor. Simulation results are presented in order to evaluate the proposed method.