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Multiple-Input Multiple-Output Paper Machine System Control Using Fuzzy-PID Tuned Controller

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Proceedings of Fifth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 437))

Abstract

Artificial Intelligence (AI) techniques have grown rapidly in recent year due to good ability to control the nonlinear model. Fuzzy logic is an important artificial intelligence technique. The ability of fuzzy logic to handle imprecise and inconsistent real-world problems has made it suitable for different applications. In this paper, a method for auto tuning MIMO fuzzy-PID (proportional--integral--derivative) conventional methods is proposed. Modeling and control of basis weight and ash content using fuzzy-PID, adjusts online parameters of a conventional PID (proportional--integral--derivative). The performance and stability objectives are assessed by simulated results.

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Author information

Authors and Affiliations

  1. Department of Instrumentation & Control Engineering, Graphic Era University, Dehradun, Uttrakhand, India

    Rajesh Kumar &  Minisha Moudgil

Authors
  1. Rajesh Kumar
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  2. Minisha Moudgil
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Corresponding author

Correspondence to Rajesh Kumar .

Editor information

Editors and Affiliations

  1. Dept of Applied Sci & Eng, Indian Instit of Tech Roorkee, Roorkee, India

    Millie Pant

  2. Department of Mathematics, Indian Inst of Tech Roorkee, Roorkee, India

    Kusum Deep

  3. Dept of Mathematics, South Asian University New Delhi, New Delhi, India

    Jagdish Chand Bansal

  4. Department of Mathematics and Comp Sci, Liverpool Hope University, LIVERPOOL, United Kingdom

    Atulya Nagar

  5. Department of Mathematics, National Inst of Tech Silchar, Silchar, Assam, India

    Kedar Nath Das

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© 2016 Springer Science+Business Media Singapore

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Rajesh Kumar, Minisha Moudgil (2016). Multiple-Input Multiple-Output Paper Machine System Control Using Fuzzy-PID Tuned Controller. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 437. Springer, Singapore. https://doi.org/10.1007/978-981-10-0451-3_15

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  • DOI: https://doi.org/10.1007/978-981-10-0451-3_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0450-6

  • Online ISBN: 978-981-10-0451-3

  • eBook Packages: EngineeringEngineering (R0)

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