Implementation of Continuous Control Set Model Predictive Control Method for PMSM on FPGA

The generalized predictive control (GPC-MPC) algorithm adopts an optimal strategy, which requires online matrix inversion operation and is difficult to be applied real-time systems. Therefore, the permanent magnet synchronous motor (PMSM) drive experiments, using GPC-MPC with constraints, are primarily performed in a simulation environment. This paper proposes new its circuit design method complete above experiments embedded By calculation steps of block decomposition reinversion, parallelism regularity storage address improved, speed accelerated. Also, model-based (MBD) used verification rest algorithm, speeds up implementation deployment algorithm. Finally, current constraints implemented on Field programmable gate array (FPGA) experimental board. results show that proposed has good effect computational efficiency.