T-S fuzzy sliding mode control for double-fed induction generator-based wind energy system with a membership function-dependent H∞-approach

被引:20
作者
Palanimuthu, Kumarasamy [1 ]
Kim, Han Sol [2 ]
Joo, Young Hoon [1 ]
机构
[1] Kunsan Natl Univ, Sch IT Informat & Control Engn, 588 Daehak Ro, Gunsan Si 54150, Jeonbuk, South Korea
[2] Korea Maritime & Ocean Univ, Dept Control & Automat Engn, Busan, South Korea
基金
新加坡国家研究基金会;
关键词
Double-fed induction generator; Fuzzy integral sliding mode control; Membership function-dependent H-infinity control; Fuzzy lyapunov function; Parameterized linear matrix inequality; FAULT-TOLERANT CONTROL; DFIG; DESIGN; SCHEME;
D O I
10.1016/j.ins.2022.03.005
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study is mainly concerned with fuzzy integral sliding mode control (FISMC) design for double-fed induction generator (DFIG)-based wind energy system (WES) under membership function-dependent H-infinity approach. To do this, a nonlinear DFIG based WES is considered with exogenous load torque variation. Then, by utilizing Takagi-Sugeno fuzzy approach, the proposed nonlinear system can be expressed as a sum of local sub-models with the help of IF-THEN rules. A suitable FISMC is designed with a reaching law condition for the proposed DFIG-based WES with the disturbances. A new fuzzy-based Lyapunov function is constructed, and the H-infinity performance index is calculated for external disturbances under membership function-dependent H-infinity approach. The obtained performance index of membership function-dependent H-infinity approach can be improved 10% than the conventional H-infinity approach. Finally, the simulation results are given the better stable performance of the DFIG-based WES under the designed FISMC, and the comparison results verify the efficacy of the proposed method. (c) 2022 Published by Elsevier Inc.
引用
收藏
页码:73 / 92
页数:20
相关论文
共 39 条
[1]   A novel scheme for current sensor faults diagnosis in the stator of a DFIG described by a T-S fuzzy model [J].
Abdelmalek, Samir ;
Barazane, Linda ;
Larabi, Abdelkader ;
Bettayeb, Maamar .
MEASUREMENT, 2016, 91 :680-691
[2]   A Novel Scheme for Rapid Tracking of Maximum Power Point in Wind Energy Generation Systems [J].
Agarwal, Vivek ;
Aggarwal, Rakesh K. ;
Patidar, Pravin ;
Patki, Chetan .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2010, 25 (01) :228-236
[3]   Sensorless vector control of induction machines for variable-speed wind energy applications [J].
Cárdenas, R ;
Peña, R .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2004, 19 (01) :196-205
[4]   Review on the techno-commercial aspects of wind energy conversion system [J].
Chatterjee, Shantanu ;
Chatterjee, Saibal .
IET RENEWABLE POWER GENERATION, 2018, 12 (14) :1581-1608
[5]   Dynamic Loads of Variable-Speed Wind Energy Conversion System [J].
Chen, Jiawei ;
Song, Yongduan .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (01) :178-188
[6]  
Dong Q.H.J, 2020, IEEE T FUZZY SYSTEMS, P1
[7]   A New Design of Robust H∞ Sliding Mode Control for Uncertain Stochastic T-S Fuzzy Time-Delay Systems [J].
Gao, Qing ;
Feng, Gang ;
Xi, Zhiyu ;
Wang, Yong ;
Qiu, Jianbin .
IEEE TRANSACTIONS ON CYBERNETICS, 2014, 44 (09) :1556-1566
[8]   A Robust Interval Type-2 Fuzzy Logic Controller for Variable Speed Wind Turbines Based on a Doubly Fed Induction Generator [J].
Hemeyine, Ahmed Vall ;
Abbou, Ahmed ;
Bakouri, Anass ;
Mokhlis, Mohcine ;
El Moustapha, Sidi Mohamed Ould Mohamed .
INVENTIONS, 2021, 6 (02)
[9]   An LMI-based H∞ fuzzy control system design with TS framework [J].
Hong, SK ;
Langari, R .
INFORMATION SCIENCES, 2000, 123 (3-4) :163-179
[10]   Disturbance observer-based integral fuzzy sliding-mode control and its application to wind turbine system [J].
Hwang, Sounghwan ;
Park, Jin Bae ;
Joo, Young Hoon .
IET CONTROL THEORY AND APPLICATIONS, 2019, 13 (12) :1891-1900