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Direct Voltage Control of DC–DC Boost Converters Using Enumeration-Based Model Predictive Control

机译:使用基于枚举的模型预测控制对DC-DC Boost转换器进行直接电压控制

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摘要

This paper presents a model predictive control (MPC) approach for dc–dc boost converters. A discrete-time switched nonlinear (hybrid) model of the converter is derived, which captures both the continuous and the discontinuous conduction mode. The controller synthesis is achieved by formulating an objective function that is to be minimized subject to the model dynamics. The proposed MPC strategy, utilized as a voltage-mode controller, achieves regulation of the output voltage to its reference, without requiring a subsequent current control loop. Furthermore, a state estimation scheme is implemented that addresses load uncertainties and model mismatches. Simulation and experimental results are provided to demonstrate the merits of the proposed control methodology, which include a fast transient response and a high degree of robustness.
机译:本文提出了一种用于DC-DC升压转换器的模型预测控制(MPC)方法。推导了转换器的离散时间切换非线性(混合)模型,该模型同时捕获了连续和不连续的传导模式。控制器的综合是通过制定一个目标函数来实现的,该函数应在模型动力学的作用下最小化。拟议的MPC策略用作电压模式控制器,可实现将输出电压调节至参考电压,而无需后续电流控制环路。此外,实施了一种状态估计方案,以解决负载不确定性和模型失配问题。仿真和实验结果提供了证明所提出的控制方法的优点,包括快速的瞬态响应和高度的鲁棒性。

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