Data-driven stability margin for linear multivariable systems

Jinrui Ren, Quan Quan, Bin Xu, Shuai Wang, Kai Yuan Cai

Research output: Contribution to journalArticlepeer-review

Abstract

The notion of stability margin (SM) plays an important role in control engineering. For multiple-input multiple-output (MIMO) systems, the classic SM is no longer applicable. The one-loop-at-a-time analysis method may lead to unreliable SMs. Although some robust SM analysis methods are popular in MIMO systems, they are model-based or not easy-to-use in engineering sometimes. In this paper, (Formula presented.) gain margin and (Formula presented.) time-delay margin are defined for linear MIMO systems, and a corresponding SM analysis method is proposed by utilizing a loop transformation and the small-gain theorem. Most importantly, a data-driven method for measuring the defined SMs is also presented. As a frequency-domain method, this method can be used to experimentally obtain the SMs of MIMO systems on model-free occasions. The proposed SM analysis method and measurement method are simple and practical. Two simulation studies and an experimental test are performed to illustrate the effectiveness and practicability of the proposed method.

Original languageEnglish
Pages (from-to)8844-8862
Number of pages19
JournalInternational Journal of Robust and Nonlinear Control
Volume34
Issue number13
DOIs
StatePublished - 10 Sep 2024

Keywords

  • autonomous, dependable, and affordable (ADA) control
  • data-driven
  • frequency domain
  • frequency-sweep method
  • gain margin
  • multiple-input multiple-output systems
  • small-gain theorem
  • stability margin
  • time-delay margin

Fingerprint

Dive into the research topics of 'Data-driven stability margin for linear multivariable systems'. Together they form a unique fingerprint.

Cite this