Recently, there has been an increase in the use of model predictive control for power converters. Model predictive control uses the discrete-time model of the system to predict future values of control variables for all possible control actions and computes a cost function related to control objectives. Model predictive control technique can provide fast, dynamic, and reliable response. However, this control method implementation imposes a very high computational burden and causes significant hardware requirements for real-time implementation. In this paper, we propose a Lyapunov-based controller for a two–level voltage source inverter model. The optimized design of the control algorithm is implemented as an embedded processor in Very High-Speed Integrated Circuit Hardware Description Language (VHDL). Afterwards, the controller design synthesized and downloaded onto a Field Programmable Gate Array (FPGA) target board for validation purposes. The design of the proposed predictive control based controller for power converters is implemented on an embedded processor FPGA board. The model predictive control Lyapunov based algorithm needs to converge within a few number of iterations. The effectiveness of the proposed method was studied and performance evaluate in software by running MATLAB/Simulink computer simulations. The proposed control model was implemented and validated as well on FPGA target board. In the proposed controller design technique, all control calculations and the commutation schemes are implemented in VHDL and therefore the need for another digital signal processor is eliminated. The proposed scheme takes full advantages of the parallel computation capability of the FPGA design.

Model Predictive Control, MATLAB, FPGA, PID, VHDL, Flying Capacitor Multi-Level Inverter