Online selection of H controllers for a faulty linear system

This paper investigates optimal selections of controllers online for a linear system with actuator faults in the framework of H ∞ control. Actuator faults are modeled into three states: normal, loss of effectiveness and outage, and the development of the actuator faults is predicted by using a Markov chain model. We present five methods to construct a smaller bank of controllers. Four selection schemes are proposed to select an optimal controller from a bank of controllers for different demands. Another selection scheme and one pre-selection scheme are presented when there may be false fault detection and isolation (FDI). Considered together, they provide a powerful solution for all kinds of demands. Finally, we utilize an example to explain and verify the proposed methods. © 2011 IEEE.

Full Text

Duke Authors

Cited Authors

  • Liu, L; Shen, Y; Zhu, C; Dowell, EH

Published Date

  • 2011

Published In

Start / End Page

  • 2257 - 2262

International Standard Serial Number (ISSN)

  • 0191-2216

Digital Object Identifier (DOI)

  • 10.1109/CDC.2011.6160496