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Optimization of Fractional Order PID Controller Using Grey Wolf Optimizer

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Abstract

This paper presents a novel evolutionary technique to optimize the parameters of fractional order controller for controlling two classes of systems: time-delay and higher-order system. The evolutionary technique known as grey wolf optimizer is used to tune both integer and fractional order controllers. The grey wolf optimizer searches for the optimum solution in the following manner, i.e. encircling, hunting, attacking the prey and finally search for the new prey consecutively if exists. To certify these various procedure, the performance indices like integral square error, integral absolute error, integral time-weighted square error, and integral time-weighted absolute error are minimized for the authenticity. Moreover, the proposed algorithm is validated and compared with well-established techniques.

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Authors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology (BHU), Varanasi, U.P., 221005, India

    Santosh Kumar Verma & Shyam Krishna Nagar

  2. Department of Electrical Engineering, M. M. M. University of Technology, Gorakhpur, U.P., 273010, India

    Shekhar Yadav

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  1. Santosh Kumar Verma
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  2. Shekhar Yadav
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Correspondence to Santosh Kumar Verma.

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Verma, S.K., Yadav, S. & Nagar, S.K. Optimization of Fractional Order PID Controller Using Grey Wolf Optimizer. J Control Autom Electr Syst 28, 314–322 (2017). https://doi.org/10.1007/s40313-017-0305-3

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  • DOI: https://doi.org/10.1007/s40313-017-0305-3

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