Current Control of the Permanent-Magnet Synchronous Generator Using Interval Type-2 T-S Fuzzy Systems

被引:9
|
作者
Chang, Yuan-Chih [1 ]
Tsai, Chi-Ting
Lu, Yong-Lin
机构
[1] Natl Chung Cheng Univ, Dept Elect Engn, Chiayi 62102, Taiwan
关键词
permanent-magnet synchronous generator; T-S fuzzy; current control; interval type-2; MOTOR DRIVE; INVERTER; PERFORMANCE; STRATEGY; DESIGN;
D O I
10.3390/en12152953
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The current control of the permanent-magnet synchronous generator (PMSG) using an interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems is designed and implemented. PMSG is an energy conversion unit widely used in wind energy generation systems and energy storage systems. Its performance is determined by the current control approach. IT2 T-S fuzzy systems are implemented to deal with the nonlinearity of a PMSG system in this paper. First, the IT2 T-S fuzzy model of a PMSG is obtained. Second, the IT2 T-S fuzzy controller is designed based on the concept of parallel distributed compensation (PDC). Next, the stability analysis can be conducted through the Lyapunov theorem. Accordingly, the stability conditions of the closed-loop system are expressed in Linear Matrix Inequality (LMI) form. The AC power from a PMSG is converted to DC power via a three-phase six-switch full bridge converter. The six-switch full bridge converter is controlled by the proposed IT2 T-S fuzzy controller. The analog-to-digital (ADC) conversion, rotor position calculation and duty ratio determination are digitally accomplished by the microcontroller. Finally, simulation and experimental results verify the performance of the proposed current control.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Interval Type-2 T-S Fuzzy Control of Permanent-Magnet Synchronous Motor
    Chang, Yuan-Chih
    Liao, Yi-Chien
    Huang, Chien-Yu
    2019 IEEE 4TH INTERNATIONAL FUTURE ENERGY ELECTRONICS CONFERENCE (IFEEC), 2019,
  • [2] T-S Fuzzy Current Regulation of Permanent-Magnet Synchronous Generator
    Chang, Yuan-Chih
    Wang, Chun-Hsiang
    Chen, Kuang-Hung
    Huang, Lyu-Wei
    2016 19TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2016), 2016,
  • [3] A new interval type-2 fuzzy controller for stabilization of interval type-2 T-S fuzzy systems
    Zhao, Tao
    Xiao, Jian
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2015, 352 (04): : 1627 - 1648
  • [4] Stabilization of Interval Type-2 T-S Fuzzy Control Systems with Time Varying Delay
    Yang Feisheng
    Guan Shouping
    2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 3397 - 3401
  • [5] Event-triggered predictive control for interval type-2 T-S fuzzy systems
    Zhou J.-F.
    Hu M.-F.
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2022, 39 (08): : 1471 - 1478
  • [6] Sliding mode control of interval type-2 T-S fuzzy systems with redundant channels
    Zhang, Zhina
    Niu, Yugang
    NONLINEAR DYNAMICS, 2022, 108 (04) : 3579 - 3593
  • [7] Sliding mode control of interval type-2 T-S fuzzy systems with redundant channels
    Zhina Zhang
    Yugang Niu
    Nonlinear Dynamics, 2022, 108 : 3579 - 3593
  • [8] T-S Fuzzy Control of a Model Car Using Interval Type-2 Fuzzy Logic System
    Yu, Gwo-Ruey
    Hsiao, Jen-Yu
    2013 INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND INTELLIGENT SYSTEMS (ARIS), 2013, : 44 - 48
  • [9] Nonfragile Sampled-Data Control for Interval Type-2 Fuzzy Modeling of Permanent Magnet Synchronous Generator-Based Wind Turbine Systems
    Anbalagan, Pratap
    Joo, Young Hoon
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 54 (04): : 2426 - 2439
  • [10] Type-2 T-S fuzzy impulsive control of nonlinear systems
    Li Yi-Min
    Sun Yuan-Yuan
    APPLIED MATHEMATICAL MODELLING, 2012, 36 (06) : 2710 - 2723