Fuzzy Logic Controller for Maximum Power Tracking in PMSG-Based Wind Power Systems

被引：0

作者：

Trinh, Quoc-Nam ^{[1
]}

Lee, Hong-Hee ^{[1
]}

机构：

[1] Univ Ulsan, Sch Elect Engn, Ulsan 680749, South Korea

来源：

ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE | 2010年 / 6216卷

关键词：

Permanent Magnet Synchronous Generator (PMSG); Maximum Power Tracking (MPPT); Fuzzy Logic Controller (FLC);

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a novel maximum power point tracking (MPPT) for a permanent magnet synchronous generator (PMSG) wind power system is proposed using a fuzzy logic algorithm. The proposed fuzzy logic controller (FLC) adopts a conventional hill climb searching (HCS) method, which is commonly used for extracting the maximum wind power due to its simplicity. The inputs of FLC are derivations of DC output power and DC/DC converter duty cycle step change, and the output of FLC is DC/DC converter duty cycle. The main advantage of the proposed MPPT method is no need to measure wind velocity and generator speed. As such, the control algorithm is independent on turbine characteristics, achieving the fast dynamic responses with non linear fuzzy logic systems. The effectiveness of the proposed MPPT strategy has been verified by simulation and experiment.

引用

页码：543 / 553

页数：11

共 50 条

[1] NONLINEAR CONTROL DESIGN FOR MAXIMUM POWER POINT TRACKING OF A PMSG-BASED WIND TURBINE
Alshamali, Saleh
Alawadhi, Dana
Aljuwaiser, Elham
[J]. INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2024, 20 (01): : 313 - 328
[2] Implementation and Validation of an Adaptive Fuzzy Logic Controller for MPPT of PMSG-Based Wind Turbines
Salem, Ahmed A.
Aldin, Noura A. Nour
Azmy, Ahmed M.
Abdellatif, Walid S. E.
[J]. IEEE ACCESS, 2021, 9 : 165690 - 165707
[3] Fuzzy-logic-based maximum power point tracking strategy for Pmsg variable-speed wind turbine generation systems
Zeng, Qingrong
Chang, Liuchen
Shao, Riming
[J]. 2008 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-4, 2008, : 389 - 393
[4] Maximum power point tracking of wind turbine systems based on fuzzy sliding mode controller
[J]. Wang, Xin, 1600, Shanghai Jiaotong University (48):
[5] Fuzzy Logic Controller Based SEPIC Converter of Maximum Power Point Tracking
El Khateb, Ahmad
Abd Rahim, Nasrudin
Selvaraj, Jeyraj
Uddin, M. Nasir
[J]. 2012 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING (IAS), 2012,
[6] Fuzzy Logic Controller based Maximum Power Point Tracking for PV System
Narendiran, S.
Sahoo, Sarat Kumar
Das, Raja
Sahoo, Ashwin Kumar
[J]. 2016 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL ENERGY SYSTEMS (ICEES), 2016, : 29 - 34
[7] Performance Evaluation of a PMSG-Based Variable Speed Wind Generation System Using Maximum Power Point Tracking
Rahmani, S.
Hamadi, Ab.
Ndtoungou, A.
Al-Haddad, K.
Kanaan, H. Y.
[J]. 2012 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE (EPEC), 2012, : 223 - 228
[8] Fuzzy Logic-Based Pitch Angle Controller for PMSG-Based Wind Energy Conversion System
Tiwari, Ramji
Babu, N. Ramesh
Sanjeevikumar, P.
[J]. ADVANCES IN SMART GRID AND RENEWABLE ENERGY, 2018, 435 : 277 - 286
[9] A fuzzy logic controller with beta parameter for maximum power point tracking of Photovoltaic systems
Li, Xingshuo
Went, Huiqing
[J]. 2016 IEEE 8TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE (IPEMC-ECCE ASIA), 2016,
[10] Maximum wind power tracking for PMSG chaos systems - ADHDP method
Wu, Zhong-Qiang
Jia, Wen-Jing
Zhao, Li-Ru
Wukey, Chang-Han
[J]. APPLIED SOFT COMPUTING, 2015, 36 : 204 - 209

← 1 2 3 4 5 →