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Enhanced Model Predictive Control Using State Variable Feedback for Steady-State Error Cancellation

机译:使用状态变量反馈进行稳态误差消除的增强模型预测控制

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摘要

The rapid dynamic responses of predictive control algorithms are widely acknowledged. However, achieving accurate steady-state reference tracking hinges not just on a precise mathematical model of the system but also on its parameters. This document presents a predictive control scheme augmented with integral state feedback tailored to a photovoltaic (PV) application. In scenarios with uncertain system parameters, steady-state errors can particularly impact reactive power regulation, where the absence of an integral term in the loop exacerbates this issue. The robustness and sensitivity of both predictive control and the proposed enhanced predictive controller are thoroughly examined. Simulation and experimental results are included to validate the effectiveness of this approach.
机译:预测控制算法的快速动态响应已得到广泛认可。然而,实现精确的稳态参考跟踪不仅取决于系统的精确数学模型,还取决于其参数。本文档提出了一种预测控制方案,该方案通过为光伏 (PV) 应用量身定制的积分状态反馈进行增强。在系统参数不确定的情况下,稳态误差尤其会影响无功功率调节,其中环路中缺少积分项会加剧此问题。对预测控制和所提出的增强预测控制器的稳健性和灵敏度进行了彻底检查。包括仿真和实验结果以验证此方法的有效性。

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