Design and implementation of robust corrective control systems with permanent sensor faults

Jung Min Yang, Seong Woo Kwak

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This paper presents fault diagnosis and fault-tolerant corrective control for a class of asynchronous sequential machines (ASMs). In the considered problem setting, a permanent fault may occur to the sensor in the feedback channel so that the distorted state feedback is forced to be generated after a fault occurrence. We propose a scheme of identifying the permanent sensor fault only by observing the feedback value measured in the form of state bursts. Based on the diagnosis method, we address a novel design algorithm for a state-feedback corrective controller that matches the stable-state behavior of the closed-loop system to that of a reference model, while accommodating the permanent damage to the sensor. Hardware experiments on the field-programmable gate array (FPGA) circuit are provided to demonstrate the applicability of the proposed fault diagnosis and fault-tolerant corrective control methodology.

Original languageEnglish
Pages (from-to)401-417
Number of pages17
JournalInformation Sciences
Volume607
DOIs
StatePublished - Aug 2022

Keywords

  • Asynchronous sequential machines (ASMs)
  • Corrective control
  • Fault diagnosis and fault tolerance
  • Field-programmable gate array (FPGA)
  • Permanent sensor fault

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