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Fault Tolerant Control of a Three Tank Benchmark Using Weighted Predictive Control

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Foundations of Fuzzy Logic and Soft Computing (IFSA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4529))

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Abstract

This paper proposes the application of fault-tolerant control (FTC) using weighted fuzzy predictive control. The FTC approach is based on two steps, fault detection and isolation (FDI) and fault accommodation. Fault detection is performed by a model-based approach using fuzzy modeling. Fault isolation uses a fuzzy decision making approach. The model of the isolated fault is used in fault accommodation with a model predictive control (MPC) scheme. This paper uses a weighted fuzzy predictive control scheme, where fuzzy goals and fuzzy constraints are described in a fuzzy objective function. The criteria (goals or constraints) have an associated weight factor, which are chosen by the decision-maker. Two faults were simulated in a three tank benchmark and the respective fuzzy models were identified. The fuzzy FTC scheme proposed in this paper was able to accommodate the simulated faults.

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Author information

Authors and Affiliations

  1. Center of Intelligent Systems/IDMEC, Instituto Superior Técnico, Technical University of Lisbon, Av. Rovisco Pais, 1049-001 Lisbon, Portugal

    L. F. Mendonça, J. M. C. Sousa & J. M. G. Sá da Costa

  2. Escola Náutica Infante D. Henrique, Dept. of Marine Engineering, Av. Eng. Bonneville Franco, Lisbon, Portugal

    L. F. Mendonça

Authors
  1. L. F. Mendonça
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  2. J. M. C. Sousa
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  3. J. M. G. Sá da Costa
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Editor information

Patricia Melin Oscar Castillo Luis T. Aguilar Janusz Kacprzyk Witold Pedrycz

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© 2007 Springer Berlin Heidelberg

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Mendonça, L.F., Sousa, J.M.C., Sá da Costa, J.M.G. (2007). Fault Tolerant Control of a Three Tank Benchmark Using Weighted Predictive Control. In: Melin, P., Castillo, O., Aguilar, L.T., Kacprzyk, J., Pedrycz, W. (eds) Foundations of Fuzzy Logic and Soft Computing. IFSA 2007. Lecture Notes in Computer Science(), vol 4529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72950-1_72

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  • DOI: https://doi.org/10.1007/978-3-540-72950-1_72

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72917-4

  • Online ISBN: 978-3-540-72950-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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