Predictive Direct Angle Control of Induction Motor

Finite control set model predictive control (FCS-MPC) has been accepted as an effective and feasible method in variable-speed drive applications. Considering the discrete nature of the converters and using a cost function for state selection reduce the computational burden despite of having a precise control. In this paper, FCS-MPC has been used to develop a novel method for induction motor control. Contrarily to conventional direct torque and flux control, in the proposed method, the torque and the angle between stator current and rotor flux are controlled. The fluxes are not directly controlled. This method increases the efficiency of the motor in light loads without using online optimum flux calculation. The angle control has become feasible by using FCS-MPC without imposing time-consuming calculations. Closed-loop prediction model is used to increase the precision of the angle prediction. A novel and simple gain calculation is also proposed. The proposed method has been evaluated by both simulations and experiments.