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Fuzzy-Based Auto-Tuned IMC-PID Controller for Level Control Process

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Computational Intelligence, Communications, and Business Analytics (CICBA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 775))

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Abstract

Internal Model Control (IMC) technique is a very popular tuning methodology for process industry due to its straightforward designing and simple tuning guideline. IMC offers a model based controller designing approach, so appropriate identification of process model is very important. But, in reality, a good number of the industrial processes are nonlinear in behavior. Hence, identifying a linear model for them at dynamic equilibrium condition is the most challenging task so that the required IMC controllers can be suitably designed. Therefore, in presence of varying process dynamics, IMC controllers usually fail to offer acceptable responses. To get rid of this constraint, here an auto-tuned IMC-PID controller for a real-time level control process is proposed where the only tuning parameter of IMC-PID controller i.e. the closed-loop time constant (\( \lambda \)) is varied with the help of a fuzzy rule base which is designed based on the process operating conditions i.e. the current value of process error (e) and change of error (\( \Delta e \)).

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Author information

Authors and Affiliations

  1. Department of Instrumentation and Electronics Engineering, Jadavpur University, Salt Lake Campus, Kolkata, 700098, India

    Ujjwal Manikya Nath & Rajani K. Mudi

  2. Department of Applied Physics, Instrumentation and Control Engineering, University of Calcutta, 92 A.P.C. Road, Kolkata, 700009, India

    Chanchal Dey

Authors
  1. Ujjwal Manikya Nath
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  2. Chanchal Dey
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  3. Rajani K. Mudi
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Corresponding author

Correspondence to Ujjwal Manikya Nath .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Computer and System Sciences, Visva Bharati University, Bolpur Santiniketan, West Bengal, India

    Paramartha Dutta

  3. Department of Information Technology, Calcutta Business School, Kolkata, India

    Somnath Mukhopadhyay

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Nath, U.M., Dey, C., Mudi, R.K. (2017). Fuzzy-Based Auto-Tuned IMC-PID Controller for Level Control Process. In: Mandal, J., Dutta, P., Mukhopadhyay, S. (eds) Computational Intelligence, Communications, and Business Analytics. CICBA 2017. Communications in Computer and Information Science, vol 775. Springer, Singapore. https://doi.org/10.1007/978-981-10-6427-2_30

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  • DOI: https://doi.org/10.1007/978-981-10-6427-2_30

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  • Print ISBN: 978-981-10-6426-5

  • Online ISBN: 978-981-10-6427-2

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