Fault tolerant control using a fuzzy predictive approach

Authors:
L. F. Mendonça;J. M. C. Sousa;J. M. G. Sá da Costa
Affiliations:
Instituto Superior Técnico, Technical University of Lisbon, Dept. of Mechanical Engineering, CIS/IDMEC-LAETA, Av. Rovisco Pais, 1049-001 Lisbon, Portugal and Escola Superior Náutica Infa ...;Instituto Superior Técnico, Technical University of Lisbon, Dept. of Mechanical Engineering, CIS/IDMEC-LAETA, Av. Rovisco Pais, 1049-001 Lisbon, Portugal;Instituto Superior Técnico, Technical University of Lisbon, Dept. of Mechanical Engineering, CIS/IDMEC-LAETA, Av. Rovisco Pais, 1049-001 Lisbon, Portugal
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

Citing 6
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Abstract

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.