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Genetic Algorithm-Based Adaptive PID Controller

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Intelligent Computing, Communication and Devices

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 308))

Abstract

Conventional PID controllers (CPID) usually fail to provide satisfactory performance for integrating and nonlinear systems due to large overshoots and oscillation. Nonlinear and adaptive PID controllers (APID) are being developed toward achieving the desired control performance for such systems. In this study, we make an attempt to develop a genetic algorithm-based adaptive PID controller (GA-APID) in order to attain adequate servo as well as regulatory performance. While designing our GA-APID, first we formulate the structure of the APID controller followed by its optimal parameter estimation for a given system using genetic algorithm. Performances of GA-APID for nonlinear and integrating systems are compared with those of CPID and APID reported in the leading literature. From detailed performance analysis, GA-APID is found to provide significantly improved performance over others.

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Author information

Authors and Affiliations

  1. Department of Instrumentation and Electronics Engineering, Jadavpur University, Sec-3, Block—LB/8, Salt-Lake, Kolkata, 700098, India

    Shradhanand Verma & Rajani K. Mudi

Authors
  1. Shradhanand Verma
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  2. Rajani K. Mudi
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Corresponding author

Correspondence to Shradhanand Verma .

Editor information

Editors and Affiliations

  1. University of Canberra, Faculty of Education, Science, Technology and Mathematics, Canberra, Australia, and University of South Australia, Adelaide, South Australia, Australia

    Lakhmi C. Jain

  2. Department of Computer Science and Engin, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  3. Department of Premier and Cabinet, Office of the Chief Information Officer, Adelaide, South Australia, Australia

    Nikhil Ichalkaranje

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© 2015 Springer India

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Verma, S., Mudi, R.K. (2015). Genetic Algorithm-Based Adaptive PID Controller. In: Jain, L., Patnaik, S., Ichalkaranje, N. (eds) Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 308. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2012-1_7

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  • DOI: https://doi.org/10.1007/978-81-322-2012-1_7

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2011-4

  • Online ISBN: 978-81-322-2012-1

  • eBook Packages: EngineeringEngineering (R0)

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