FPGA Implementation of Model Predictive Control for Driving Multi-Induction Motors

Abstract

Model predictive control uses the system’s explicit model to regulate the control goals. This control strategy is helpful in ac drive applications since it can handle multiple control goals and constraints. For induction motor applications involving multiple control targets, model predictive control provides convenience for real-time applications. This paper presents the FPGA implementation of the model predictive current control method to regulate two inductions motors fed by a nine-switch inverter. The control method aims to regulate the two independent induction motors’ dynamics individually, and the real-time validation is conducted using a Cyclone IV FPGA. Experimental results are shared in the paper to explain how the system works. Detailed information is given about how the model predictive control method is implemented with an FPGA device. According to the experimental results, the system dynamics are quite stable, and the desired control targets have been achieved.