A synthesis strategy for nonlinear model predictive controller on FPGA

This paper describes an implementation strategy of nonlinear model predictive controller for FPGA systems. A high-level synthesis of a real-time MPC algorithm by means of the MATLAB HDL Coder as well as the Vivado HLS tool is discussed. In order to exploit the parallel processing of FPGAs, the included integration schemes are parallelized using a fixed-point iteration approach. The synthesis results are demonstrated for two different example systems.