Abstract

Finite control set model predictive control (FCS-MPC) is an optimal control strategy that solves user-defined objective functions to determine the best control action for the next time interval. Real-time implementations of model predictive control techniques are quite challenging for certain topologies due to computation complexities. In this paper, key aspects of achieving robust, reliable, and efficient field programmable gate arrays (FPGAs) based model predictive control are presented for single-phase direct matrix topology. The effectiveness of FPGA-based model predictive control is validated experimentally using an ALTERA Cyclone IV FPGA. Experimental results show that an effective load current control performance is obtained by taking advantage of pipelining capability of the FPGA device. The tradeoff between control bandwidth, FPGA resources, and hardware utilization is discussed.

摘要

有限控制集模型预测控制（FCS-MPC）是一种最佳控制策略，可以解决用户定义的目标函数，以确定下一个时间间隔内的最佳控制动作。由于计算复杂性，模型预测控制技术的实时实现对于某些拓扑结构来说是非常具有挑战性的。在本文中，针对单相直接矩阵拓扑，提出了实现基于鲁棒，可靠和高效的现场可编程门阵列（FPGA）的模型预测控制的关键方面。基于FPGA的模型预测控制的有效性已通过ALTERA Cyclone IV FPGA进行了实验验证。实验结果表明，利用FPGA器件的流水线功能可以获得有效的负载电流控制性能。控制带宽之间的权衡，