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Advanced cuttlefish optimizer-random decision forest (ACORDF) based design of fractional order PID controller for higher-order time-delay system

Thomas George (Mount Zion College of Engineering, Kadammanitta, India)
V. Ganesan (Sathyabama University, Chennai, India)

Journal of Engineering, Design and Technology

ISSN: 1726-0531

Article publication date: 7 April 2021

88

Abstract

Purpose

The purpose of this manuscript, a state feedback gain depends on the optimal design of fractional order PID controller to time-delay system is established. In established optimal design known as advanced cuttlefish optimizer and random decision forest that is combined performance of random decision forest algorithm (RDFA) and advanced cuttlefish optimizer (ACFO).

Design/methodology/approach

The proposed ACFO uses the concept of crossover and mutation operator depend on position upgrading to enhance its search behavior, calculational speed as well as convergence profile at basic cuttlefish optimizer.

Findings

Fractional order proportional-integrator-derivative (FOPID) controller, apart from as tuning parameters (kp, ki and kd) it consists of two extra tuning parameters λ and µ. In established technology, the increase of FOPID controller is adjusted to reach needed responses that demonstrated using RDFA theory as well as RDF weight matrices is probable to the help of the ACFO method. The uniqueness of the established method is to decrease the failure of the FOPID controller at greater order time delay method with the help of controller maximize restrictions. The objective of the established method is selected to consider parameters set point as well as achieved parameters of time-delay system.

Originality/value

In the established technique used to evade large order delays as well as reliability restrictions such as small excesses, time resolution, as well as fixed condition defect. These methods is implemented at MATLAB/Simulink platform as well as outcomes compared to various existing methods such as Ziegler-Nichols fit, curve fit, Wang method, regression and invasive weed optimization and linear-quadratic regression method.

Keywords

Acknowledgements

Retraction notice: The publishers of the Journal of Engineering, Design and Technology wish to retract the article “Advanced cuttlefish optimizer-random decision forest (ACORDF) based design of fractional order PID controller for higher-order time-delay system” by T. George and V. Ganesan which appeared ahead of print, 2021.

It has come to our attention that there are concerns that the peer review process was compromised, and that as a result, the findings cannot be relied upon.

The publishers of the journal sincerely apologize to the readers.

Citation

George, T. and Ganesan, V. (2021), "Advanced cuttlefish optimizer-random decision forest (ACORDF) based design of fractional order PID controller for higher-order time-delay system", Journal of Engineering, Design and Technology, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JEDT-11-2020-0451

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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