Integral Variable Structure Fuzzy Adaptive Control for Variable Speed Wind Power System

被引:0
作者
Yang, Xiyun [1 ]
Liu, Xinran [1 ]
机构
[1] N China Elect Power Univ, Beijing 102206, Peoples R China
来源
PROCEEDINGS OF 2010 INTERNATIONAL CONFERENCE ON LOGISTICS SYSTEMS AND INTELLIGENT MANAGEMENT, VOLS 1-3 | 2010年
关键词
Wind Power; Variable Structure; Fuzzy; Sliding Mode Control;
D O I
暂无
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In order to maximize capture wind power, wind turbine generator needs to tune wind turbine speed according wind. It is difficult to obtain the better dynamic quality and robustness by conventional controller based on mathematic model due to uncertainty Of wind speed and wind direction. An integral variable structure fuzzy adaptive controller is proposed for variable speed wind power system with uncertain model parameters and force disturbances. The control scheme is based on variable structure controller with integral compensation. The uncertainties are approximated based on fuzzy theory. Furthermore, fuzzy adaptive method is applied to regulate the gain of switch control variable in order to eliminate the chattering phenomenon that is inherent to variable structure system. The stability of the proposed controller is proved using Lyapunov method. Simulation results indicate that the strong robustness and better tracking performance can be achieved.
引用
收藏
页码:1247 / 1250
页数:4
相关论文
共 50 条
[31]   The Reserch of Variable Structure Fuzzy Neural Network Control system [J].
Qiu Huanyao .
2016 IEEE INTERNATIONAL CONFERENCE OF ONLINE ANALYSIS AND COMPUTING SCIENCE (ICOACS), 2016, :273-276
[32]   Fuzzy Variable Structure Control for Buildings [J].
Li, Zhijun ;
Deng, Zichen ;
Gu, Zhiping .
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, :4342-+
[33]   Robust Speed Control Methodology for Variable Speed Wind Turbines [J].
Al-Jodah, Ammar ;
Alwan, Marwah .
2021 11TH IEEE INTERNATIONAL CONFERENCE ON CONTROL SYSTEM, COMPUTING AND ENGINEERING (ICCSCE 2021), 2021, :1-6
[34]   Variable Speed Wind Power Generation System Participating into Primary Frequency Regulation [J].
Prajapat, Ganesh P. ;
Ayub, Naima ;
Yadav, Vinod Kumar ;
Bansal, Sanjay Kumar .
2022 IEEE 10TH POWER INDIA INTERNATIONAL CONFERENCE, PIICON, 2022,
[35]   Control of Variable Pitch, Variable Speed Wind Turbine in Weak Grid Systems [J].
Yuan, Xibo ;
Chai, Jianyun ;
Li, Yongdong .
2010 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION, 2010, :3778-3785
[36]   Control of variable speed variable pitch wind turbine based on a disturbance observer [J].
Ren, Haijun ;
Lei, Xin .
2017 3RD INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT AND MATERIALS SCIENCE (EEMS 2017), 2017, 94
[37]   Grid power quality with variable speed wind turbines [J].
Chen, Z ;
Spooner, E .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2001, 16 (02) :148-154
[38]   Nonlinear robust observer based adaptive control design for variable speed wind turbine [J].
Singh, Navdeep ;
Pratap, Bhanu ;
Swamp, Akhilesh .
JOURNAL OF ENGINEERING RESEARCH, 2019, 7 (03) :258-285
[39]   Analysis of Sliding Mode Control of Variable Speed Wind Turbine System with PMSG [J].
Gajewski, Piotr ;
Pienkowski, Krzysztof .
2017 INTERNATIONAL SYMPOSIUM ON ELECTRICAL MACHINES (SME), 2017,
[40]   The simulation of variable speed wind turbine track control [J].
Huang Yuehua ;
Li Guangxu ;
Li Huanhuan .
2012 WORLD AUTOMATION CONGRESS (WAC), 2012,