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Application of Model Predictive Control to Ultra Sparse Matrix Rectifier

机译:模型预测控制在超稀疏矩阵整流器中的应用

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Ultra Sparse Matrix Rectifier (USMR) is considered to be one of the simplest and compact three-phase PWM rectifiers. It is a buck three-phase AC-DC converter with one-quadrant operation capability. In this paper, Model Predictive Control (MPC) is applied to USMR supplying inductive load. The discrete time model of the system is derived. Then, the MPC algorithm for the proposed system is discussed. Finally, the system is simulated using Matlab. The performance of the proposed USMR controlled using MPC is compared to the one using Space Vector Modulation (SVM). Simulation results show that the MPC has more harmonic performance benefits than the SVM one. However, the efficiency of the system that uses MPC is slightly lower than the one that uses SVM, due to the built in switching loss minimization of the SVM.
机译:超稀疏矩阵整流器(USMR)被认为是最简单和紧凑的三相PWM整流器之一。它是一个降压三相AC-DC转换器,具有单象象限的操作能力。本文将模型预测控制(MPC)应用于USMR供应电感负载。派生系统的离散时间模型。然后,讨论了所提出的系统的MPC算法。最后,使用MATLAB进行模拟系统。将使用MPC控制的提议的USMR控制的性能与使用空间矢量调制(SVM)进行比较。仿真结果表明,MPC具有比SVM更谐波的性能效益。但是,由于内置的​​SVM的开关损耗最小化,使用MPC的系统的效率略低于使用SVM的系统。

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