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Automatic Rule Tuning of a Fuzzy Logic Controller Using Particle Swarm Optimisation

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Artificial Intelligence and Computational Intelligence (AICI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6320))

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Abstract

While fuzzy logic controllers (FLCs) are developed to exploit human expert knowledge in designing control systems, the actual establishment of fuzzy rules and tuning of fuzzy membership functions are usually a time consuming exercise. In this paper a technique, based on the particle swarm optimisation (PSO), is employed to automatically tune the fuzzy rules of a Mamdani-type of fuzzy controller. The effectiveness of the designed controller is demonstrated by the control performance of such an FLC to a nonlinear water tank system with process time delay. The results are compared favourably to a PSO tuned PID controller.

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Author information

Authors and Affiliations

  1. School of Engineering, University of Western Sydney, Locked Bag 1797, Penrith South, DC, 1797, Australia

    Gu Fang

  2. School of Mechanical & Manufacturing Engineering, University of New South Wales, Sydney, NSW, 2052, Australia

    Ngai Ming Kwok & Dalong Wang

Authors
  1. Gu Fang
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  2. Ngai Ming Kwok
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  3. Dalong Wang
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Editor information

Editors and Affiliations

  1. Department of Business Administration, Caritas Francis Hsu College, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

  2. School of Business Information Technology, RMIT University, City Campus, 124 La Trobe Street, 3000, Melbourne, Victoria, Australia

    Hepu Deng

  3. Department of Computer Science, Nanjing University, 210093, Nanjing, China

    Yang Gao

  4. School of Computer, Nanjing University of Posts and Telecommunications, 210003, Nanjing, China

    Jingsheng Lei

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© 2010 Springer-Verlag Berlin Heidelberg

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Fang, G., Kwok, N.M., Wang, D. (2010). Automatic Rule Tuning of a Fuzzy Logic Controller Using Particle Swarm Optimisation. In: Wang, F.L., Deng, H., Gao, Y., Lei, J. (eds) Artificial Intelligence and Computational Intelligence. AICI 2010. Lecture Notes in Computer Science(), vol 6320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16527-6_41

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  • DOI: https://doi.org/10.1007/978-3-642-16527-6_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16526-9

  • Online ISBN: 978-3-642-16527-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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