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Nonlinear Model Predictive Stabilization of DC–DC Boost Converters With Constant Power Loads

机译:具有恒定功率负载的DC-DC升压转换器的非线性模型预测稳定

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摘要

This article addresses the problem of stabilization of dc–dc converters feeding constant power loads (CPLs). An explicit model predictive control is developed based on an average model of a boost converter. The optimal control law is obtained offline by solving a multiparametric nonlinear programming problem over a simplex partition of the state space. The performance is validated through simulation and experimental studies. A delay compensation scheme is included for online implementation. The control is able to drive the output voltage to the desired level and stabilize it despite the instability effects produced by the presence of CPLs. It also features robustness against abrupt changes on the input voltage and the load.
机译:本文解决了馈送恒电负载(CPLS)的DC-DC转换器稳定问题。基于升压转换器的平均模型开发了显式模型预测控制。通过在状态空间的单纯形分区上求解多个非线性编程问题,从线获得最佳控制定律。通过模拟和实验研究验证了性能。包含延迟补偿方案用于在线实现。控制能够将输出电压驱动到所需的水平,并且尽管通过CPLS存在产生的不稳定效果,但仍能稳定。它还具有对输入电压和负载的突然变化的鲁棒性。

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