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Intelligent Tuning of PID Controller with Robust Disturbance Rejection Function Using Immune Algorithm

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3213))

Abstract

This paper focuses on robust tuning of the PID controller using immune algorithm which has function such as diversity, distributed computation, adaptation, self-monitoring function. After deciding disturbance rejection condition for the given process, the gains of PID controller is tuned to obtain the required response by fitness value of immune algorithm depending on disturbance rejection. Simulation results are compared with genetic algorithm.

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Author information

Authors and Affiliations

  1. Dept. of Instrumentation and Control Eng., Hanbat National University, 16-1 San Duckmyong-Dong Yuseong-Gu, Daejon City, 305-719, Korea

    Dong Hwa Kim

Authors
  1. Dong Hwa Kim
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Kim, D.H. (2004). Intelligent Tuning of PID Controller with Robust Disturbance Rejection Function Using Immune Algorithm. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_12

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  • DOI: https://doi.org/10.1007/978-3-540-30132-5_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23318-3

  • Online ISBN: 978-3-540-30132-5

  • eBook Packages: Springer Book Archive

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