FPGA-based Model Predictive Control for High Frequency Variable Speed Generating Units

V. Sabatini, L. Bigarelli, M. di Benedetto, A. Lidozzi, L. Solero, G. Brown
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引用次数: 2

Abstract

This paper deals with the design and implementation of high performance Model Predictive Control (MPC) strategy for stabilizing the output DC-link of an AC-DC converter in generating applications. The system is composed of a permanent magnets synchronous machine which is directly driven by a prime mover (i.e. internal combustion engine, gas turbine, etc..) and an AC-DC power converter. In such application, the control structure must be able to regulate the DC-link voltage as well as the dq-axes currents. Complete design of the Model Predictive Control strategy is described and tested, with reference to the internal reference generation and FPGA implementation. Being the system characterized by non-linear behaviors, the MPC approach is considered particularly suitable to overcome that issue.
基于fpga的高频变速发电机组模型预测控制
本文研究了发电应用中稳定交直流变换器输出直流链路的高性能模型预测控制(MPC)策略的设计与实现。该系统由一台由原动机(即内燃机、燃气轮机等)直接驱动的永磁同步电机和一台交直流电源变换器组成。在这种应用中,控制结构必须能够调节直流链路电压和dq轴电流。描述和测试了模型预测控制策略的完整设计,并参考了内部参考生成和FPGA实现。由于系统具有非线性行为特征,因此MPC方法被认为特别适合克服这一问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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