Finite Control Set Model Predictive Field-Oriented Control for Three-Phase Induction Motor Drives
Field-oriented control is one of the well-established vector control strategies for the induction motor drives. However, its cascaded structure and requirement of a modulator for constant switching frequency operation makes it complex and computationally expensive. Model predictive control (MPC) is a novel control strategy, used for AC motor drives. In this paper, a finite control set model predictive control (FCS-MPC) based field-oriented control (FOC) is presented. Finite control set model predictive field-oriented control (FCS-MPFOC) utilizes a cost function that quantifies the error between the reference and anticipated current values for all the potential voltage vectors of the voltage source inverter. The voltage vector that generates the lowest value of the cost function is directly implemented to the inverter to produce the drive voltage. The efficiency of proposed method is authenticated by using a three-phase induction motor, fed via a two-level three-phase voltage source inverter in MATLAB/Simulink environment under various speeds, load torque and in model parameters mismatch situation. Simulation results show that the proposed method performed significantly well in total current harmonic distortion, flux and torque ripples, switching frequency and under parameters variations.