Low-Complexity Model Predictive Flux Control with Constant Switching Frequency for Induction Motors

In this paper, a low-complexity model predictive flux control (MPFC) with a fixed switching frequency is proposed for induction motors (IMs) fed by a two-level voltage source inverter. The appropriate active voltage vectors (AVVs) are determined according to estimated torque derivation. The generalized discrete space vector is used for improving the controller performance, and the computation time is mitigated by derivation of the extremum of the flux control objective. To ensure the controller switching frequency is fixed, the synthesized control voltage vector is implemented using a symmetrical three-vector method. The proposed controller is evaluated at 5 kHz sampling frequency and the achieved results validate the effectiveness of the strategy for improving the steady-state performance while maintaining a constant switching frequency around 5 kHz over a wide range of operating conditions.