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    Suzhou Electric Appliance Research Institute
    期刊號: CN32-1800/TM| ISSN1007-3175

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    基于自適應(yīng)觀測器的風(fēng)力發(fā)電機(jī)液壓變槳系統(tǒng)故障診斷

    來源:電工電氣發(fā)布時間:2019-11-19 13:19 瀏覽次數(shù):660
    基于自適應(yīng)觀測器的風(fēng)力發(fā)電機(jī)液壓變槳系統(tǒng)故障診斷
     
    胡昌選,文傳博
    (上海電機(jī)學(xué)院 電氣學(xué)院,上海 201306)
     
        摘 要:液壓變槳系統(tǒng)是風(fēng)力發(fā)電機(jī)組中故障多發(fā)的重要部件,對其展開故障診斷具有重要意義。針對受到丟包和狀態(tài)延時影響的風(fēng)機(jī)變槳系統(tǒng)故障,提出一種基于自適應(yīng)觀測器的故障診斷方法。將復(fù)雜的變槳系統(tǒng)轉(zhuǎn)化為相應(yīng)的狀態(tài)空間模型,并根據(jù)相應(yīng)的系統(tǒng)故障模型設(shè)計出自適應(yīng)觀測器。將故障模型進(jìn)行離散化之后,設(shè)置合理的系統(tǒng)增益矩陣以及自適應(yīng)調(diào)節(jié)律,并對觀測器的穩(wěn)定性展開了證明。仿真結(jié)果證明了觀測部分能夠準(zhǔn)確地對真實(shí)值進(jìn)行跟蹤,實(shí)現(xiàn)了對變槳系統(tǒng)故障診斷的目標(biāo)。
        關(guān)鍵詞:風(fēng)力發(fā)電機(jī)組;狀態(tài)時延和丟包;變槳系統(tǒng);自適應(yīng)觀測器;故障診斷
        中圖分類號:TM614    文獻(xiàn)標(biāo)識碼:A     文章編號:1007-3175(2019)11-0005-06
     
    Fault Diagnosis of Wind Turbine Hydraulic Variable Pitch System Based on Adaptive Observer
     
    HU Chang-xuan , WEN Chuan-bo
    (School of Electrical Engineering, Shanghai Dianji University, Shanghai 201306, China)
     
        Abstract: The hydraulic variable pitch system of wind turbine is the main multi-fault component, so it is very necessary to carry out fault diagnosis. A fault diagnosis method based on adaptive observation was proposed for the fault of wind turbine variable pitch system affected by state delay and loss of package. The complex variable pitch system was transformed into the corresponding state space model, and the adaptive observer was designed according to the corresponding system fault model. After the fault model was discretized, a reasonable gain matrix and adaptive regulation law are set up, and the stability of the observer was proved. The simulation results show that the observer part can accurately track the real value and realize the goal of fault diagnosis for the variable pitch system.
        Key words: wind turbine; state delay and packet loss; variable pitch system; adaptive observer; fault diagnosis
     
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