一种系统的增强渐近地平线稳定预测控制器鲁棒性的方法

David Megías, J. Serrano, A. Kuznetsov
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引用次数: 6

摘要

尽管预测控制器具有稳定性保证,但由于系统的不确定性,可能会产生闭环不稳定性。t -设计和q参数化方法常用于增强预测控制器的鲁棒性。前者是启发式的,而后者存在优化规则,使其具有系统性。然而,t型设计倾向于产生更大的稳健性边际。这里提出的T优化是一个基于优化鲁棒性的二次准则来选择T的系统过程,因此,克服了启发式方法的缺点。该方法的鲁棒性裕度比其他方法得到的鲁棒性裕度大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A systematic method to enhance the robustness of stabilising receding-horizon predictive controllers
Although stability guarantees are available for predictive controllers, closed-loop instability may arise due to system uncertainty. The T-design and the Q-parametrisation methods are often used to enhance the robustness of predictive controllers. The former is heuristic, whereas optimisation rules exist for the latter, which makes it systematic. However, the T-design tends to producing larger robustness margins. The T-optimisation presented here is a systematic procedure to choose T based on optimising a quadratic criterion on robustness and thus, overcomes the drawbacks of heuristic approaches. This method can lead to robustness margins larger than those obtained with other techniques.
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