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

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