Model predictive control of SPMSM based on FPGA and processor

This paper shows implementation of an explicit linear model predictive control (MPC) of surface mounted permanent magnet synchronous motor (SMPMSM) on field-programmable gate array (FPGA) and dual-core processor. The most notable advantage of an MPC algorithm, in comparison with standard field oriented control (FOC), is the correct constraints handling and natural way of control objective definition. The selected MPC algorithm, described in first part of this article, also achieves field weakening ability, thanks to the modified linearization and constraints handling. General disadvantage of an MPC is relatively high computational complexity. The requirement of high-performing hardware is met by implementation on FPGA and dual-core processor. The experimental validation of this approach is the focus of the second part of this paper.