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A novel optimal firefly algorithm based gain scheduling proportional integral derivative controller for rotor spinning machine speed control

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Abstract

In advanced yarn production, the rotor spinning machine plays a significant role due to its low power consumption and high speed of yarn delivery. Nevertheless, if the speed of the machine exceeds from its desired level, the yarn output will go worsen. Therefore, in this paper, a novel optimal firefly algorithm based gain scheduling proportional-integral-derivative controller is proposed to regulate the speed of linear parameter varying based rotor spinning machine at the desired level. Here, the OFA is added to the GSPID controller for tuning the controller parameters. Consequently, Spline piecewise interpolation is newly developed to regulate the gain tuning parameters in high desired rate. The stability of the projected controller is synthesized by the combination of linear matrix variations with \(H_{\infty }\) control. Moreover, the error percentage and the accuracy of the proposed system are optimized using OFA. The implementation of this projected work was done in the MATLAB R2018b platform. Furthermore, the simulation result of the developed control strategy is compared with other traditional control approaches and its efficiency measure has proved by gaining less computational time as 10 s, error rate as 0.0982%, and high accuracy as 92%.

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Authors and Affiliations

  1. Department of Instrumentation and Control, Shri Guru Gobind Singh Institute of Engineering and Technology, Vishnupuri, Nanded, Maharashtra, 431 606, India

    K. Jadhav Vilas & V. G. Asutkar

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  1. K. Jadhav Vilas
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  2. V. G. Asutkar
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Correspondence to K. Jadhav Vilas.

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Vilas, K.J., Asutkar, V.G. A novel optimal firefly algorithm based gain scheduling proportional integral derivative controller for rotor spinning machine speed control. Int. J. Dynam. Control 9, 1730–1745 (2021). https://doi.org/10.1007/s40435-021-00776-6

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  • DOI: https://doi.org/10.1007/s40435-021-00776-6

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