A novel design of optimal intelligent fuzzy TID controller employing GA for nonlinear level control problem subject to actuator and system component fault
International Journal of Intelligent Computing and Cybernetics
ISSN: 1756-378X
Article publication date: 16 February 2021
Issue publication date: 4 March 2021
Abstract
Purpose
The purpose of this article is about the design of controllers for conical two-tank noninteracting level (CTTNL) system in simulation. Local linearization around the equilibrium point has been done for the nonlinear CTTNL system to obtain a linearized model transfer function.
Design/methodology/approach
This article deals with the design of novel optimal fractional-order tilt-integral-derivative (TID) controller using type-1 fuzzy set for the CTTNL prototype system. In this study, type-1 fuzzy TID controller parameters have been optimized through genetic algorithm (GA) and those set of values have been employed for the design of proportional-integral-derivative (PID) controller.
Findings
A performance comparison between FTID and PID controller is then investigated. The analysis shows the superiority of FTID controller over PID controller in terms of integral absolute error (IAE), integral square error (ISE), integral of time multiplied absolute error (ITAE) and integral of time multiplied squared error (ITSE) integral errors. The transient and steady state performance of the FTID controller are superior as compared to conventional PID controller. In future, the FTID controller fault-tolerance capability tested on CTTNL system subject to actuator and system component (leak) faults. The detailed study of robustness in presence of model uncertainties will be incorporated as a scope of further research.
Originality/value
A performance comparison between FTID and PID controller is then investigated. The analysis shows the superiority of FTID controller over PID controller in terms of IAE, ISE, ITAE and ITSE integral errors. Additionally, fault-tolerant performance of the proposed controller evaluated with fault-recovery time (Frt) parameter. The transient and steady state performance of the FTID controller are superior as compared to conventional PID controller.
Keywords
Acknowledgements
The author would like to express special thanks of gratitude to his guide (Vipul A. Shah) who gave the author the golden opportunity to make this wonderful project on the topic, which also helped him in doing a lot of research and the author came to know about so many new things and he is really thankful to them. Secondly, the author would also like to thank his parents and friends who helped him a lot in finalizing this project within the limited time frame.Funding: 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. and S.K.R.; validation, H.R.P. and S.K.R. ; 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., Raval, S.K. and Shah, V.A. (2021), "A novel design of optimal intelligent fuzzy TID controller employing GA for nonlinear level control problem subject to actuator and system component fault", International Journal of Intelligent Computing and Cybernetics, Vol. 14 No. 1, pp. 17-32. https://doi.org/10.1108/IJICC-11-2020-0174
Publisher
:Emerald Publishing Limited
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