Parameter-Free Predictive Control of IPM Motor Drives With Direct Selection of Optimum Inverter Voltage Vectors

Parameter dependence is a drawback of the model predictive control of electric motor drives. In this article, a predictive current control (PCC) for an interior permanent magnet (IPM) motor independent of the motor parameters is presented. The motor current time-derivatives (slopes) are expressed as functions of the phase angles of the inverter basic voltage vectors. The slopes are then predicted independent of the motor parameters and are used in selecting the optimum inverter voltage vectors. In addition, a method is used for avoiding the time-consuming evaluations of a cost function to select an optimum inverter voltage vector. By this method, the reference current slopes are used for a direct optimum voltage vector selection. As a result, the control performance is improved under the parametric uncertainties and the execution time of the control code is shortened in comparison to the conventional predictive method. The effectiveness of the proposed method and its superiority over the conventional and a recently presented PCC method are confirmed through the simulation and experimental results.