参数不确定性下Buck变换器的鲁棒最优控制:一种LQR方法

A. Sedehi, Mohammadreza Mirjafari
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引用次数: 0

摘要

电力电子变流器控制器设计的一个主要问题是在参数变化的情况下保持鲁棒稳定性和性能标准。传统的鲁棒控制器设计方法导致高阶控制器无法实时实现。本文提出了一种鲁棒的线性二次型调节器,可以有效地应对变换器参数的变化。该方法基于电感电流和电容电压的状态反馈。这些状态变量应该被测量并发送到控制器单元。为了简化实现,提出了一种用于buck变换器的扩展卡尔曼滤波来估计变换器的状态。为了进一步研究,将该控制器的性能与传统的高阶H∞控制器进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Optimal Controller for Buck Converter Under Parametric Uncertainty: An LQR Approach
A major problem to design the controller of power electronic converters is to maintain robust stability and performance criteria against changing parameters. The conventional methods to design robust controllers lead to a high-order controller that may not feasible to implement in real-time. In this paper, a robust linear quadratic regulator is proposed that can cope with the variation of parameters of the converter. This approach is based on state feedback which involves inductor current and capacitor voltage. These state variables should be measured and sent to the controller unit. To simplify implementation, an extended kalman bucy filter is proposed for buck converter to estimate the states of the converter. To more study, the performance of the proposed controller is compared with a conventional high order H∞ controller.
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