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Fuzzy Control of Nonlinear Pipeline Systems with Bounds on Output Peak

  • Conference paper
Fuzzy Systems and Knowledge Discovery (FSKD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3613))

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Abstract

A new fuzzy control method for nonlinear pipeline system is discussed in this paper. The nonlinear dynamics of pipeline system is composed by two gravity-flow tanks, and are described by Takagi-Sugeno (T-S) fuzzy model. The controller design is based on overall stability, and is carried out via the parallel distributed compensation (PDC) scheme. To obtain better output dynamic performance, a given bounds is introduced to the output of nonlinear systems. Moreover, by means of linear matrix inequality (LMI) technique, it is shown that the existence of such constrained control system can be transformed into the feasibility of a convex optimization problem. Finally, by applying the designed controller, the simulation results demonstrate the efficiency.

Supported by the Key Project of Chinese Ministry of Education (NO105088).

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Author information

Authors and Affiliations

  1. Institute of Automation, Southern Yangtze University, Wuxi, 214122, P.R. China

    Fei Liu & Jun Chen

Authors
  1. Fei Liu
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  2. Jun Chen
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Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Honda Research Institute Europe GmbH, Offenbach/Main, Germany

    Yaochu Jin

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© 2005 Springer-Verlag Berlin Heidelberg

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Liu, F., Chen, J. (2005). Fuzzy Control of Nonlinear Pipeline Systems with Bounds on Output Peak. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_120

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  • DOI: https://doi.org/10.1007/11539506_120

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28312-6

  • Online ISBN: 978-3-540-31830-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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