Fault tolerant control using a fuzzy predictive approach

  • Mendon??a L
  • Sousa J
  • S?? Da Costa J
  • 2


    Mendeley users who have this article in their library.
  • N/A


    Citations of this article.


This paper proposes the application of fault-tolerant control (FTC) using fuzzy predictive control. The FTC approach is based on two steps, fault detection and isolation (FDI) and fault accommodation. The fault detection is performed by a model-based approach using fuzzy modeling and fault isolation uses a fuzzy decision making approach. The information obtained on the FDI step is used to select the model to be used in fault accommodation, in a model predictive control (MPC) scheme. The fault accommodation is performed with one fuzzy model for each identified fault. The FTC scheme is used to accommodate the faults of two systems a container gantry crane and three tank benchmark system. The fuzzy FTC scheme proposed in this paper was able to detect, isolate and accommodate correctly the considered faults of both systems. ?? 2012 Elsevier Ltd. All rights reserved.

Author-supplied keywords

  • Fault detection
  • Fault isolation
  • Fault tolerant control
  • Fuzzy decision making
  • Fuzzy optimization
  • Model predictive control

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document


  • L. F. Mendon??a

  • J. M C Sousa

  • J. M G S?? Da Costa

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free