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Performance Enhancement of Fractional \({\text{PI}}^{{{{\uplambda}}}} {\text{D}}^{{{{\upmu}}}}\) Controllers Using Modified Grey Wolf Optimization

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Proceedings of International Conference on Data Science and Applications

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 287))

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Abstract

In this paper, a modified version of Grey Wolf Optimizer (GWO) is presented to upgrade the parameters of the fractional order PID (FOPID) controllers. The Modified Grey Wolf Optimization (MGWO) investigates for the most favorable solution in the predefined search space. The MGWO is incorporated with a novel fitness function which helps the algorithm for fastest computation. The proposed technique is certified by minimizing the defined fitness. Additionally, the proposed technique is exercised for different benchmark problems, and results are validated with well-established techniques.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, BIT Sindri, Dhanbad, Jharkhand, 828123, India

    Santosh Kumar Verma

  2. Department of Electrical Engineering, BIT Sindri, Dhanbad, Jharkhand, 828123, India

    Amit Kumar Choudhary

Authors
  1. Santosh Kumar Verma
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  2. Amit Kumar Choudhary
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Corresponding author

Correspondence to Santosh Kumar Verma .

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Editors and Affiliations

  1. Computer Science & Engineering and Information Technology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India

    Mukesh Saraswat

  2. Department of Computer Science and Engineering, Jadavpur University, Kolkata, West Bengal, India

    Sarbani Roy

  3. Department of Computer Science and Engineering, Jadavpur University, Kolkata, West Bengal, India

    Chandreyee Chowdhury

  4. Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia

    Amir H. Gandomi

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Verma, S.K., Choudhary, A.K. (2022). Performance Enhancement of Fractional \({\text{PI}}^{{{{\uplambda}}}} {\text{D}}^{{{{\upmu}}}}\) Controllers Using Modified Grey Wolf Optimization. In: Saraswat, M., Roy, S., Chowdhury, C., Gandomi, A.H. (eds) Proceedings of International Conference on Data Science and Applications. Lecture Notes in Networks and Systems, vol 287. Springer, Singapore. https://doi.org/10.1007/978-981-16-5348-3_2

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