Model Predictive Control of Three Phase Inverter Fed RL Load

Shaswat Chirantan, Bibhuti Bhusan Pati
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Abstract

The management strategy that uses a plant model for the prediction of future characteristics of a control variable is called as Model Predictive Control(MPC). This paper proposes a predictive model of a three phase inverter with passive RL load with load current as predicted variable & termed as Predictive Current Control(PCC). In the proposed PCC scheme Space Vector Modulation(SVM) technique is implemented for switching state selection of inverter for an assigned cost function in terms of reference & predicted current difference with most optimum value. Discretized forward Euler approximation is used to predict the load current. The MPC algorithm is implemented in a three phase inverter model using the MATLAB / SIMULINK environment.
三相逆变器Fed RL负荷的模型预测控制
使用工厂模型来预测控制变量的未来特征的管理策略称为模型预测控制(MPC)。本文提出了一种以负荷电流为预测变量的无源RL负载三相逆变器预测模型,称为预测电流控制(PCC)。在PCC方案中,采用空间矢量调制(SVM)技术对给定的代价函数进行逆变器的开关状态选择,并根据最优值的参考和预测电流差进行切换。采用离散正演欧拉近似预测负载电流。在MATLAB / SIMULINK环境下,在三相逆变器模型中实现了MPC算法。
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