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A Harmony Search Approach Using Exponential Probability Distribution Applied to Fuzzy Logic Control Optimization

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Recent Advances In Harmony Search Algorithm

Part of the book series: Studies in Computational Intelligence ((SCI,volume 270))

Abstract

Fuzzy logic control (FLC) systems have been investigated in many technical and industrial applications as a powerful modeling tool that can cope with the uncertainties and nonlinearities of modern control systems. However, a drawback of FLC methodologies in the industrial environment is the number of tuning parameters to be selected. In this context, a broad class of meta-heuristics has been developed for optimization tasks. Recently, a meta-heuristic called harmony search (HS) algorithm has emerged. HS was conceptualized using an analogy with music improvisation process where music players improvise the pitches of their instruments to obtain better harmony. Inspired by the HS optimization method, this work presents an improved HS (IHS) approach using exponential probability distribution to optimize the design parameters of a FLC with fuzzy PI (proportional-integral) plus derivative action conception. Numerical results presented here indicate that validated FLC design with IHS tuning is effective for the control of a pH neutralization nonlinear process.

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Authors and Affiliations

  1. Industrial and Systems Engineering Graduate Program, Pontifical Catholic University of Paraná, Curitiba, Paraná, Brazil

    Leandro dos Santos Coelho & Diego L. de A. Bernert

Authors
  1. Leandro dos Santos Coelho
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  2. Diego L. de A. Bernert
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Editors and Affiliations

  1. iGlobal University, 7700 Little River Tpke. #600, Annandale, 22003, Virginia, USA

    Zong Woo Geem

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dos Santos Coelho, L., de A. Bernert, D.L. (2010). A Harmony Search Approach Using Exponential Probability Distribution Applied to Fuzzy Logic Control Optimization. In: Geem, Z.W. (eds) Recent Advances In Harmony Search Algorithm. Studies in Computational Intelligence, vol 270. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04317-8_7

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  • DOI: https://doi.org/10.1007/978-3-642-04317-8_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04316-1

  • Online ISBN: 978-3-642-04317-8

  • eBook Packages: EngineeringEngineering (R0)

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