首页 | 本学科首页   官方微博 | 高级检索  
     

基于集值观测器的风能转换系统多类型故障检测的设计
引用本文:赵睿楠,沈艳霞. 基于集值观测器的风能转换系统多类型故障检测的设计[J]. 控制理论与应用, 2021, 38(2): 187-196
作者姓名:赵睿楠  沈艳霞
作者单位:江南大学物联网工程学院,江苏无锡214122;江南大学物联网工程学院,江苏无锡214122
基金项目:国家自然科学基金项目(61164015, 61305132), 中央高校基本科研基金项目(JUSRP31106, JUSRP51510), 江苏省研究生创新培养工程项目 (KYCX17 1459)资助.
摘    要:针对受延时输入影响的风能转换系统的故障检测问题,本文设计了基于集值观测器的故障检测策略.风能转换系统常见故障可以区分为加性故障与乘性故障,本文对增广统一风能转换系统模型,设计一种全局集值观测器,通过改变所选择的状态集顶点和参考误差区间,改变增益矩阵元素的取值范围,选择合适的增益矩阵,实现精确的状态跟踪.在此基础上设计了...

关 键 词:延时输入  风能转换系统  集值观测器  多类型故障  故障检测
收稿时间:2020-05-06
修稿时间:2020-09-17

Multi-type fault detection design of wind energy conversion systems via set-valued observer
ZHAO Rui-nan and SHEN Yan-xia. Multi-type fault detection design of wind energy conversion systems via set-valued observer[J]. Control Theory & Applications, 2021, 38(2): 187-196
Authors:ZHAO Rui-nan and SHEN Yan-xia
Affiliation:School of IoT and engineering,Jiangnan University,Wuxi Jiangsu,School of IoT and engineering,Jiangnan University,Wuxi Jiangsu
Abstract:The fault detection (FD) strategies based on set-valued observer (SVO) are designed in this paper to dealwith the problem of FD of wind energy conversion systems (WECSs) affected by delayed input. The common faults ofWECSs can be divided into additive faults and multiplicative faults. For the augmented unified model of WECS, a globalSVO is designed to achieve accurate state tracking by changing the selected state sets vertexes and reference error intervals,changing the value ranges of the gain matrix elements, and selecting the appropriate gain matrix. On this basis, the faultdetection strategies which considered both the relative estimation errors of state and the absolute estimation error of outputare designed. The simulation results show that the designed FD strategies can offer rapid fault determination for commonmulti-type faults. Comparing with the FD strategies designed by Rosa, this research has obvious advantages in the time ofFD.
Keywords:delayed input   wind energy conversion systems   set-valued observer   multi-type faults   fault detection
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《控制理论与应用》浏览原始摘要信息
点击此处可从《控制理论与应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号