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Interaction Analysis of a Multivariable Process in a Manufacturing industry—A Review

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Inventive Systems and Control

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 672))

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Abstract

It is important to perform interaction analysis in case of multivariable (MV) control system to determine the best loop pairing recommendation. Non-desirable couplings can be decreased with the help of incorporation of suitable decouplers designed but only after determining suitable loop pairing. The present work extensively reviews the literature survey pertaining to the interaction analysis and loop pairing recommendation in a multivariable control system. Multivariable interaction techniques like relative gain array (RGA), effective RGA (ERGA), dynamic RGA (DRGA), input relative gain array (IRGA), normalized RGA (NRGA), normalized effective RGA (NERGA), relative omega array (ROmA), etc. and their applications in various industrial processes are highlighted in brief.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India

    P. K. Juneja

  2. Department of PDP, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India

    T. Anand

  3. Department of Electrical Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India

    P. Saini

  4. Department of Electronics and Communication Engineering, Graphic Era Hill University, Dehradun, Uttarakhand, India

    Rajeev Gupta

  5. Department of Physics, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India

    F. S. Gill

  6. Department of Electronics and Communication Engineering, Graphic Era Hill University, Bhimtal, Uttarakhand, India

    S. Sunori

Authors
  1. P. K. Juneja
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  2. T. Anand
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  3. P. Saini
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  4. Rajeev Gupta
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  5. F. S. Gill
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  6. S. Sunori
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Corresponding author

Correspondence to P. Saini .

Editor information

Editors and Affiliations

  1. Computer Science and Design, Dayananda Sagar College of Engineering, Bengaluru, India

    V. Suma

  2. University of Haute Alsace, Mulhouse, France

    Pascal Lorenz

  3. School of Information Technology, Deakin University, Geelong, VIC, Australia

    Zubair Baig

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Juneja, P.K., Anand, T., Saini, P., Gupta, R., Gill, F.S., Sunori, S. (2023). Interaction Analysis of a Multivariable Process in a Manufacturing industry—A Review. In: Suma, V., Lorenz, P., Baig, Z. (eds) Inventive Systems and Control. Lecture Notes in Networks and Systems, vol 672. Springer, Singapore. https://doi.org/10.1007/978-981-99-1624-5_54

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