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Preview Reference Governors
arXiv - CS - Systems and Control Pub Date : 2021-02-25 , DOI: arxiv-2102.12654 Yudan Liu, Joycer Osorio, Hamid Ossareh
arXiv - CS - Systems and Control Pub Date : 2021-02-25 , DOI: arxiv-2102.12654 Yudan Liu, Joycer Osorio, Hamid Ossareh
This paper presents a constraint management strategy based on Scalar
Reference Governors (SRG) to enforce output, state, and control constraints
while taking into account the preview information of the reference signals. The
strategy, referred to as the Preview Reference Governor (PRG), can outperform
SRG while maintaining the highly-attractive computational benefits of SRG.
However, as it is shown, the performance of PRG may suffer if large preview
horizons are used. An extension of PRG, referred to as Multi-horizon PRG, is
proposed to remedy this issue. Quantitative comparisons between SRG, PRG, and
Multi-horizon PRG on a vehicle rollover example are presented to illustrate
their performance and computation time.
中文翻译:
预览参考调速器
本文提出了一种基于标量参考调速器(SRG)的约束管理策略,以在考虑参考信号的预览信息的同时强制执行输出,状态和控制约束。该策略被称为预览参考调速器(PRG),可以在保持SRG高度吸引人的计算优势的同时,胜过SRG。但是,如图所示,如果使用较大的预览范围,PRG的性能可能会受到影响。为了解决此问题,建议将PRG的扩展称为多对视PRG。提出了针对车辆侧翻示例的SRG,PRG和Multi-horizon PRG之间的定量比较,以说明其性能和计算时间。
更新日期:2021-02-26
中文翻译:
预览参考调速器
本文提出了一种基于标量参考调速器(SRG)的约束管理策略,以在考虑参考信号的预览信息的同时强制执行输出,状态和控制约束。该策略被称为预览参考调速器(PRG),可以在保持SRG高度吸引人的计算优势的同时,胜过SRG。但是,如图所示,如果使用较大的预览范围,PRG的性能可能会受到影响。为了解决此问题,建议将PRG的扩展称为多对视PRG。提出了针对车辆侧翻示例的SRG,PRG和Multi-horizon PRG之间的定量比较,以说明其性能和计算时间。