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

Yan Liang, Zehua Liang, Dongdong Zhao, Y. Huangfu, Liang Guo
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引用次数: 8

Abstract

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.
基于卡尔曼补偿的交错DC-DC升压变换器模型预测控制
提出了一种有限控制集模型预测控制(FCS-MPC)算法,用于交错DC-DC升压变换器作为电流模式控制器,在不增加调制级的情况下跟随电感参考电流。通过将输出电压调节转换为电感电流调节,可以保证并联支路之间的负载均匀分布,克服非最小相位行为。设计了卡尔曼观测器来获取负载电阻的变化和电压的积分误差,用以补偿电流参考计算。仿真结果表明,该控制策略在存在负载变化和输入电压干扰的情况下,能够实现有效的输出电压调节,具有快速响应和良好的鲁棒性。
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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