GWO-Based Optimal Tuning of Type-1 and Type-2 Fuzzy Controllers for Electromagnetic Actuated Clutch Systems

被引：89

作者：

Bojan-Dragos, Claudia-Adina ^{[1
]}

Precup, Radu-Emil ^{[1
]}

Preitl, Stefan ^{[1
]}

Roman, Raul-Cristian ^{[1
]}

Hedrea, Elena-Lorena ^{[1
]}

Szedlak-Stinean, Alexandra-Iulia ^{[1
]}

机构：

[1] Politehn Univ Timisoara, Dept Automat & Appl Informat, Bd V Parvan 2, Timisoara 300223, Romania

来源：

IFAC PAPERSONLINE | 2021年 / 54卷 / 04期

关键词：

electromagnetic actuated clutch systems; Grey Wolf Optimizer; optimization; PI controllers; Takagi-Sugeno type-1 fuzzy controllers; Takagi-Sugeno type-2 fuzzy controllers; GREY WOLF OPTIMIZER;

D O I：

10.1016/j.ifacol.2021.10.032

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The goal of this paper is to develop the optimal fuzzy controllers for nonlinear processed represented by electromagnetic actuated clutch systems in order to improve the control system performance. A Takagi-Sugeno type-1 fuzzy logic controller and a Takagi-Sugeno type-2 fuzzy logic controller are designed here to enhance position tracking performance of electromagnetic actuated clutch systems, which are subjected to parametric uncertainties The parameters of membership functions and the rules of the proposed fuzzy controllers are optimally tuned using a recent metaheuristic optimization algorithm, namely the Grey Wolf Optimizer A comparison of Takagi-Sugeno type-1 and Takagi-Sugeno type-2 fuzzy control systems is carried out in various simulation scenarios, which are discussed and analyzed. The results highlight that the type-2 fuzzy controller performs efficiently for these complex processes. Copyright (C) 2021 The Authors. e CC BY-NC-ND license

引用

页码：189 / 194

页数：6

共 50 条

[21] Examining the Continuity of Type-1 and Interval Type-2 Fuzzy Logic Systems
Wu, Dongrui
Mendel, Jerry M.
2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010), 2010,
[22] On the Properties of SIRMs Connected Type-1 and Type-2 Fuzzy Inference Systems
Li, Chengdong
Zhang, Guiqing
Yi, Jianqiang
Wang, Tiechao
IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), 2011, : 1982 - 1988
[23] On the robustness of Type-1 and Interval Type-2 fuzzy logic systems in modeling
Biglarbegian, Mohammad
Melek, William
Mendel, Jerry
INFORMATION SCIENCES, 2011, 181 (07) : 1325 - 1347
[24] Observer Design for Discrete Type-1 and Type-2 TSK Fuzzy Systems
Fadali, M. Sami
Jafarzadeh, Saeed
2012 AMERICAN CONTROL CONFERENCE (ACC), 2012, : 5616 - 5621
[25] Optimal Genetic Design of Type-1 and Interval Type-2 Fuzzy Systems for Blood Pressure Level Classification
Carlos Guzman, Juan
Miramontes, Ivette
Melin, Patricia
Prado-Arechiga, German
AXIOMS, 2019, 8 (01)
[26] A comparative study of type-1 fuzzy logic systems, interval type-2 fuzzy logic systems and generalized type-2 fuzzy logic systems in control problems
Castillo, Oscar
Amador-Angulo, Leticia
Castro, Juan R.
Garcia-Valdez, Mario
INFORMATION SCIENCES, 2016, 354 : 257 - 274
[27] Experimental Comparison of Type-1 and Type-2 Fuzzy Logic Controllers for the Control of Level and Temperature in a Vessel
Cosenza, B.
Galluzzo, M.
21ST EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, 2011, 29 : 803 - 807
[28] Experimental study of intelligent controllers under uncertainty using type-1 and type-2 fuzzy logic
Sepulveda, Roberto
Castillo, Oscar
Melin, Patricia
Rodriguez-Diaz, Antonio
Montiel, Oscar
INFORMATION SCIENCES, 2007, 177 (10) : 2023 - 2048
[29] Performance Comparison of Type-1 and Type-2 Neuro-Fuzzy Controllers for a Flexible Joint Manipulator
Jokandan, Afshar Shamsi
Khosravi, Abbas
Nahavandi, Saeid
NEURAL INFORMATION PROCESSING (ICONIP 2019), PT I, 2019, 11953 : 621 - 632
[30] Contrasting Singleton Type-1 and Interval Type-2 Non-singleton Type-1 Fuzzy Logic Systems
Aladi, Jabran Hussain
Wagner, Christian
Pourabdollah, Arnir
Garibaldi, Jonathan M.
2016 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2016, : 2043 - 2050

← 1 2 3 4 5 →