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Advances in Computing and Intelligent Systems pp 153–163Cite as

Design of Optimal PID Controller for Varied System Using Teaching–Learning-Based Optimization

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Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

This paper deals with the implementation of teaching–learning-based optimization (TLBO) for tuning controller parameters. The optimized parameters of a PID controller are then used to regulate the speed of a DC motor and to control the automatic voltage regulator (AVR) system. The TLBO searches for the optimal solution on the basis of effective class teaching performance. The efficacy of the optimized PID controller is evaluated while comparing the results of two benchmark problems with the conventional tuning approaches.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, 273010, UP, India

    Ashish Mishra, Navdeep Singh & Shekhar Yadav

Authors
  1. Ashish Mishra
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  2. Navdeep Singh
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  3. Shekhar Yadav
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Corresponding author

Correspondence to Ashish Mishra .

Editor information

Editors and Affiliations

  1. Rajasthan Technical University, Kota, Rajasthan, India

    Harish Sharma

  2. University of Southern Denmark, Odense, Denmark

    Kannan Govindan

  3. Amity University, Jaipur, Rajasthan, India

    Ramesh C. Poonia

  4. Amity University, Jaipur, Rajasthan, India

    Sandeep Kumar

  5. University of Bahrain, Zallaq, Bahrain

    Wael M. El-Medany

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Cite this paper

Mishra, A., Singh, N., Yadav, S. (2020). Design of Optimal PID Controller for Varied System Using Teaching–Learning-Based Optimization. In: Sharma, H., Govindan, K., Poonia, R., Kumar, S., El-Medany, W. (eds) Advances in Computing and Intelligent Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-0222-4_13

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