Utilising Laguerre function in predictive functional control to ensure prediction consistency
Utilising Laguerre function in predictive functional control to ensure prediction consistency
复制标题
利用拉盖尔函数进行预测功能控制，确保预测一致性
DOI：
10.1109/control.2016.7737639
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
J. Rossiter
中科院分区：
文献类型：
--
作者：
Muhammad Abdullah;J. Rossiter
本文提出在预测函数控制(PFC)中使用拉盖尔函数来产生适定决策。用拉盖尔多项式和系统的稳态输入代替了经典PFC的恒定控制输入假设。通过这一微小的修改，模型预测与实际系统行为之间实现了更好的一致性。此外，期望的闭环系统时间常数作为PFC整定参数的有效性变得更加显著。所提出的方法的编码和调整过程非常简单，并且符合PFC的主要卖点。
This work proposes the use of Laguerre function in Predictive Functional Control (PFC) to produce well-posed decision making. The constant control input assumption of a classical PFC is replaced with the Laguerre polynomial and the steady state input of a system. With this slight modification, better consistency between model predictions and an actual system behaviour is achieved. In addition, the effectiveness of desired closed-loop time constant as PFC tuning parameter becomes more significant. The coding and tuning processes of the proposed approach are very straightforward and in line with the key selling points of PFC.