基于廣義觀測器的風(fēng)力發(fā)電機(jī)魯棒故障估計(jì)方法
本文選題:魯棒故障估計(jì) + 廣義觀測器。 參考:《上海電機(jī)學(xué)院》2017年碩士論文
【摘要】:風(fēng)能是世界上最具有潛力的清潔能源之一,而風(fēng)力發(fā)電機(jī)對風(fēng)能的利用至關(guān)重要,風(fēng)力發(fā)電機(jī)將風(fēng)能轉(zhuǎn)化為電能,并要求其有較高的工作效率和可靠性,為減輕高昂的維護(hù)成本迫切需要先進(jìn)的故障診斷技術(shù)。近年來興起的故障估計(jì)技術(shù)不僅能夠檢測故障,還能同時(shí)實(shí)現(xiàn)故障的重構(gòu)。本文從觀測器魯棒故障估計(jì)的角度展開研究,設(shè)計(jì)廣義觀測器并應(yīng)用于風(fēng)力發(fā)電機(jī)故障的估計(jì),主要包括以下內(nèi)容:本文分析了一類執(zhí)行器故障、傳感器故障和未知干擾同時(shí)存在的非線性系統(tǒng)的故障估計(jì)問題,分別總結(jié)了對干擾和對故障的處理方法,對干擾的處理關(guān)系到故障估計(jì)的魯棒性,在此基礎(chǔ)上針對不同假設(shè)條件對干擾分別采用設(shè)計(jì)自適應(yīng)算法估計(jì)干擾和未知輸入觀測器解耦干擾的方法。對于傳感器故障估計(jì),將其作為狀態(tài)變量,設(shè)計(jì)廣義觀測器,估計(jì)狀態(tài)變量的同時(shí)估計(jì)出傳感器故障。分別就執(zhí)行器有界故障和無界故障給出觀測器設(shè)計(jì)方法:對于有界執(zhí)行器故障,設(shè)計(jì)帶干擾補(bǔ)償滑模觀測器,使得滑模運(yùn)動等效故障的影響,實(shí)現(xiàn)有界故障的重構(gòu);對于無界執(zhí)行器故障的估計(jì),采用廣義觀測器估計(jì)傳感器故障的方法,將其作為新的狀態(tài)變量,設(shè)計(jì)廣義觀測器可實(shí)現(xiàn)估計(jì)。利用本文的廣義觀測器魯棒故障估計(jì)方法,考慮非線性典型風(fēng)力發(fā)電機(jī)基準(zhǔn)模型,在MATLAB的simulink平臺上仿真驗(yàn)證觀測器的有效性,仿真證明本文的故障估計(jì)方法有一定的有效性。
[Abstract]:Wind energy is one of the most potential clean energy sources in the world, and wind turbines are very important to the utilization of wind energy. Wind turbines convert wind energy into electric energy and require its high efficiency and reliability. In order to reduce the high maintenance cost, advanced fault diagnosis technology is urgently needed. The fault estimation technology developed in recent years can not only detect the fault, but also realize the fault reconfiguration at the same time. In this paper, the robust fault estimation of wind turbine is studied, and the generalized observer is designed and applied to the fault estimation of wind turbine. The main contents are as follows: in this paper, a class of actuator faults are analyzed. The problem of fault estimation for nonlinear systems with both sensor faults and unknown disturbances is summarized. The methods of dealing with disturbances and faults are summarized respectively. The handling of disturbances is related to the robustness of fault estimation. On the basis of this, an adaptive algorithm is designed to estimate the disturbance and the unknown input observer to decouple the disturbance under different hypothetical conditions. For sensor fault estimation, a generalized observer is designed to estimate the sensor fault while estimating the state variable. The observer design methods for the bounded and unbounded actuator faults are given respectively. For the bounded actuator faults, the sliding mode observer with disturbance compensation is designed, which makes the sliding mode motion equivalent fault and realizes the reconfiguration of the bounded fault. For the unbounded actuator fault estimation, the generalized observer is used to estimate the sensor fault, which is regarded as a new state variable, and the generalized observer can be used to estimate the sensor fault. Using the generalized observer robust fault estimation method in this paper, considering the nonlinear typical wind turbine reference model, the effectiveness of the observer is verified by simulation on the simulink platform of MATLAB. The simulation results show that the proposed method is effective to some extent.
【學(xué)位授予單位】:上海電機(jī)學(xué)院
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TM315
【參考文獻(xiàn)】
相關(guān)期刊論文 前8條
1 王佳偉;沈毅;王振華;;基于未知輸入觀測器方法的非線性切換系統(tǒng)故障檢測[J];系統(tǒng)工程與電子技術(shù);2015年10期
2 尹詩;余忠源;孟凱峰;李闖;王其樂;;基于非線性狀態(tài)估計(jì)的風(fēng)電機(jī)組變槳控制系統(tǒng)故障識別[J];中國電機(jī)工程學(xué)報(bào);2014年S1期
3 楊俊起;朱芳來;;未知輸入和可測噪聲重構(gòu)之線性矩陣不等式非線性系統(tǒng)觀測器設(shè)計(jì)[J];控制理論與應(yīng)用;2014年04期
4 李大冰;吉榮廷;馮文秀;;風(fēng)力發(fā)電機(jī)組葉片故障診斷[J];節(jié)能技術(shù);2013年06期
5 陳長征;趙新光;周勃;谷泉;;風(fēng)電機(jī)組葉片裂紋故障特征提取方法[J];中國電機(jī)工程學(xué)報(bào);2013年02期
6 李輝;趙猛;趙斌;唐顯虎;劉志詳;;雙饋風(fēng)電機(jī)組關(guān)鍵傳感器的故障診斷方法[J];中國電機(jī)工程學(xué)報(bào);2011年06期
7 龍泉;劉永前;楊勇平;;狀態(tài)監(jiān)測與故障診斷在風(fēng)電機(jī)組上的應(yīng)用[J];現(xiàn)代電力;2008年06期
8 張鵬;付艷明;段廣仁;;一類線性時(shí)滯系統(tǒng)的未知輸入觀測器設(shè)計(jì)[J];系統(tǒng)工程與電子技術(shù);2006年01期
相關(guān)博士學(xué)位論文 前1條
1 蘇祖強(qiáng);基于泛化流形學(xué)習(xí)的風(fēng)電機(jī)組傳動系統(tǒng)早期故障診斷方法研究[D];重慶大學(xué);2015年
相關(guān)碩士學(xué)位論文 前4條
1 連莎莎;基于模型的風(fēng)電機(jī)組變槳距系統(tǒng)故障預(yù)測的研究[D];華北電力大學(xué);2015年
2 李金霞;風(fēng)力發(fā)電機(jī)組液壓變槳系統(tǒng)的故障診斷方法研究[D];華北電力大學(xué);2013年
3 劉霞;風(fēng)力機(jī)傳動系統(tǒng)故障診斷研究[D];華中科技大學(xué);2013年
4 劉瑋;風(fēng)力發(fā)電機(jī)組液壓變槳距系統(tǒng)的建模以及故障診斷[D];華北電力大學(xué)(北京);2009年
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