An Explicit Reference Governor for Linear Sampled-Data Systems With Disturbance Inputs and Uncertain Time Delays

• 成果类型: Article
• 署名作者: Li, Nan; Geng, Sijia; Kolmanovsky, Ilya; Girard, Anouck
• 署名单位: University of Michigan System; University of Michigan; University of Michigan System; University of Michigan
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2022.3140379
• 发表日期: 2023
• 页码: 440-447
• 关键词: Constrained control; reference governors; sampled-data systems; time delays

摘要

In this article, we propose a novel reference governor (RG) scheme for prestabilized linear sampled-data systems to satisfy pointwise-in-time constraints in the presence of bounded disturbances and uncertain input and/or measurement delays. Based on an explicit bound on the system response to step changes in the reference signal derived using the logarithmic norm, this RG scheme yields a closed-form solution for updating the reference signal at sample time instants that guarantees both sample-time and intersample constraint satisfaction. Due to its closed-form expression, the proposed RG scheme requires minimum computational effort and is thereby suitable for systems with limited computing capability.