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Model Predictive Control for Interleaved DC-DC Boost Converter Based on Kalman Compensation

机译:基于卡尔曼补偿的交错DC-DC升压转换器模型预测控制

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A Finite Control Set Model Predictive Control (FCS-MPC) algorithm is proposed for an interleaved DC-DC boost converter as a current-mode controller to follow the inductor current reference without an additional modulation stage. It is able to ensure equal load distribution among the paralleled branches and overcome non-minimum phase behavior through transferring output voltage regulation into inductor current regulation. A Kalman observer is designed to obtain the load resistance variation and the integrated voltage error which is used to compensate the current reference calculation. The algorithm has been tested in simulation and the results show the proposed control strategy could achieve effective output voltage regulation with fast response and good robustness in the presence of load variations and input voltage disturbances.
机译:提出了一种有限控制集模型预测控制(FCS-MPC)算法,用于交织的DC-DC升压转换器作为电流模式控制器,以遵循电感器电流参考而没有附加调制级。它能够确保并联分支之间的相等负载分布,并通过将输出电压调节转移到电感器电流调节中来克服非最小相位行为。卡尔曼观察者设计用于获得负载电阻变化和用于补偿电流参考计算的集成电压误差。该算法在仿真中进行了测试,结果表明,在存在负载变化和输入电压干扰的情况下,拟议的控制策略可以实现有效的输出电压调节,并且在存在负载变化和输入电压干扰时具有良好的鲁棒性。

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