Application of metaheuristic algorithms in interval type-2 fractional order fuzzy TID controller for nonlinear level control process under actuator and system component faults*
International Journal of Intelligent Computing and Cybernetics
ISSN: 1756-378X
Article publication date: 12 February 2021
Issue publication date: 4 March 2021
Abstract
Purpose
The two-tank level control system is one of the real-world's second-order system (SOS) widely used as the process control in industries. It is normally operated under the Proportional integral and derivative (PID) feedback control loop. The conventional PID controller performance degrades significantly in the existence of modeling uncertainty, faults and process disturbances. To overcome these limitations, the paper suggests an interval type-2 fuzzy logic based Tilt-Integral-Derivative Controller (IT2TID) which is modified structure of PID controller.
Design/methodology/approach
In this paper, an optimization IT2TID controller design for the conical, noninteracting level control system is presented. Regarding to modern optimization context, the flower pollination algorithm (FPA), among the most coherent population-based metaheuristic optimization techniques is applied to search for the appropriate IT2FTID's and IT2FPID's parameters. The proposed FPA-based IT2FTID/IT2FPID design framework is considered as the constrained optimization problem. System responses obtained by the IT2FTID controller designed by the FPA will be differentiated with those acquired by the IT2FPID controller also designed by the FPA.
Findings
As the results, it was found that the IT2FTID can provide the very satisfactory tracking and regulating responses of the conical two-tank noninteracting level control system superior as compared to IT2FPID significantly under the actuator and system component faults. Additionally, statistical Z-test carried out for both the controllers and an effectiveness of the proposed IT2FTID controller is proven as compared to IT2FPID and existing passive fault tolerant controller in recent literature.
Originality/value
Application of new metaheuristic algorithm to optimize interval type-2 fractional order TID controller for nonlinear level control system with two type of faults. Also, proposed method will compare with other method and statistical analysis will be presented.
Keywords
Acknowledgements
The project outcome is PhD work of corresponding author of this article. This research received no external funding. The authors would also like to thank Department of Instrumentation and Control, Faculty of Technology, Dharmsinh Desai University, Nadiad-387001, Gujarat, India.Compliance with ethical standardsFunding: This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.Author contributions: Conceptualization, H.R.P.; methodology, H.R.P.; software, H.R.P.; validation, H.R.P.; formal analysis, H.R.P.; investigation, H.R.P.; resources, H.R.P., and V.A.S.; data curation, H.R.P.; writing–original draft preparation, H.R.P.; writing–review and editing, H.R.P. and V.A.S.; supervision V.A.S.; All authors have read and agreed to the published version of the manuscript.*This work was not supported by any organization.Conflict of interest: The authors declare that they have no conflict of interest.
Citation
Patel, H.R. and Shah, V.A. (2021), "Application of metaheuristic algorithms in interval type-2 fractional order fuzzy TID controller for nonlinear level control process under actuator and system component faults*", International Journal of Intelligent Computing and Cybernetics, Vol. 14 No. 1, pp. 33-53. https://doi.org/10.1108/IJICC-08-2020-0104
Publisher
:Emerald Publishing Limited
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