A novel design of optimal intelligent fuzzy TID controller employing GA for nonlinear level control problem subject to actuator and system component fault

作     者：Himanshukumar R.Patel Sejal K.Raval Vipul A.Shah 

作者机构：Instrumentation and Control Engineering DepartmentFaculty of TechnologyDharmsinh Desai UniversityNadiadIndia Government PolytechnicGujarat Technological UniversityAhmedabadIndia 

出 版 物：《International Journal of Intelligent Computing and Cybernetics》 (智能计算与控制论国际期刊（英文）)

年 卷 期：2021年第14卷第1期

页      面：17-32页

核心收录：

学科分类：08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 081102[工学-检测技术与自动化装置] 

基　　金：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 

主　　题：Fuzzy logic Genetic algorithms Fault-tolerant control 

摘      要：Purpose–The purpose of this article is about the design of controllers for conical two-tank noninteracting level(CTTNL)system in *** linearization around the equilibrium point has been done for the nonlinear CTTNL system to obtain a linearized model transfer ***/methodology/approach–This article deals with the design of novel optimal fractional-order tiltintegral-derivative(TID)controller using type-1 fuzzy set for the CTTNL prototype *** 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)***–A performance comparison between FTID and PID controller is then *** 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 *** transient and steady state performance of the FTID controller are superior as compared to conventional PID *** future,the FTID controller fault-tolerance capability tested on CTTNL system subject to actuator and system component(leak)*** detailed study of robustness in presence of model uncertainties will be incorporated as a scope of further ***/value–A performance comparison between FTID and PID controller is then *** analysis shows the superiority of FTID controller over PID controller in terms of IAE,ISE,ITAE and ITSE integral ***,fault-tolerant performance of the proposed controller evaluated with fault-recovery time(F_(rt))*** transient and steady state performance of the FTID controller are superior as compared to conventional PID controller.