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Weighted fuzzy fault tolerant model predictive control
P. Manikandan, , J. Jerome
Published in Institute of Electrical and Electronics Engineers Inc.
2014
Pages: 83 - 90
Abstract
This paper proposes a new active fault-tolerant control (FTC) using fuzzy predictive logic. 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 real-time CSTR level process. The fuzzy FTC scheme proposed in this paper was able to detect, isolate and accommodate correctly the considered faults of the system. © 2014 IEEE.
About the journal
JournalData powered by TypesetIEEE International Conference on Fuzzy Systems
PublisherData powered by TypesetInstitute of Electrical and Electronics Engineers Inc.
ISSN10987584