本文選題：三電平逆變器　切入點：故障診斷　出處：《安徽工程大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：多電平逆變器具有克服傳統(tǒng)逆變器開關(guān)應(yīng)力大、直流母線電壓利用率低等優(yōu)點,尤其適用于高壓、大功率場合的應(yīng)用。本文首先介紹多電平逆變器的產(chǎn)生背景、突出優(yōu)點和硬件拓?fù)浣Y(jié)構(gòu),并總結(jié)了其控制策略的發(fā)展歷程。然后通過介紹基于信號處理、神經(jīng)網(wǎng)絡(luò)、支持向量機這三種電力電子裝置主要的故障診斷方法,指明多電平逆變器故障診斷技術(shù)目前很不成熟,并揭示研究難點主要集中在多電平逆變器的建模和制造成本、中點電位波動、死區(qū)補償和窄脈沖、無源軟開關(guān)這四方面。指明解決多電平逆變器故障診斷這一歷史性難題要把重點放在拓?fù)浣Y(jié)構(gòu)和控制策略等機理上。通過詳細(xì)闡述多電平逆變器技術(shù)未來的五大發(fā)展趨勢,表明多電平逆變器具有廣泛的應(yīng)用前景。三電平逆變器作為多電平逆變器的一種,在高壓大功率場合獲得了較為廣泛的應(yīng)用。但是功率器件的增加,提高了系統(tǒng)的故障率,因此,如何保證系統(tǒng)安全可靠運行便成為了一個重點研究的問題。本文以二極管鉗位式三電平逆變器為例,分析了三電平逆變器在功率管開路下的電路工作情況及故障表現(xiàn)形式,并由此提出了一種基于神經(jīng)網(wǎng)絡(luò)的三電平逆變器功率器件開路故障的檢測和診斷方法。本文首先從三電平逆變器的拓?fù)浣Y(jié)構(gòu)和工作原理出發(fā),分析了三電平逆變器主電路的故障類型,將主電路功率開關(guān)器件的開路故障分為九大類,應(yīng)用MATLAB軟件對這些故障進(jìn)行了仿真分析,并建立了簡單故障診斷表。其次,采用傅立葉變換的方法提取各種復(fù)雜故障波形的各次諧波分量作為故障診斷的特征參數(shù),然后對故障波形的頻譜特征進(jìn)行分析,將其用于故障樣本的編碼中,從而建立了基于神經(jīng)網(wǎng)絡(luò)的故障診斷模型。將神經(jīng)網(wǎng)絡(luò)的診斷方法與小波分析的診斷方法結(jié)合起來進(jìn)行故障診斷。最后,設(shè)計了基于DSP的三電平逆變器的故障診斷實驗平臺,構(gòu)建了三電平逆變器的主電路,設(shè)計了DSP的外圍電路,包括信號緩沖保護(hù)電路、驅(qū)動電路、電壓電流檢測電路、輔助電源等。編寫了三電平逆變器的SVPWM信號發(fā)生程序和故障診斷程序等。實驗結(jié)果表明,本文提出的基于神經(jīng)網(wǎng)絡(luò)的三電平逆變器故障診斷方法具有一定的可行性和實際應(yīng)用價值。
[Abstract]:Multilevel inverter has the advantages of overcoming the high switching stress of conventional inverter and low utilization ratio of DC bus voltage. It is especially suitable for high voltage and high power applications. The background of multilevel inverter is introduced in this paper. The main fault diagnosis methods based on signal processing, neural network and support vector machine are introduced. It is pointed out that the fault diagnosis technology of multilevel inverter is not mature at present, and it is revealed that the research difficulties mainly focus on the modeling and manufacturing cost of multilevel inverter, neutral point potential fluctuation, dead-time compensation and narrow pulse. The four aspects of passive soft switching. It is pointed out that in order to solve the historic problem of multilevel inverter fault diagnosis, the emphasis should be placed on topology structure and control strategy, and the five development trends of multilevel inverter technology in the future are described in detail. As a kind of multilevel inverter, three-level inverter has been widely used in high-voltage and high-power applications. However, with the increase of power devices, the failure rate of the system is improved. Therefore, how to ensure the safe and reliable operation of the system has become a key issue. This paper takes diode clamped three-level inverter as an example. In this paper, the circuit operation and fault performance of three-level inverter under open circuit of power transistor are analyzed. Based on neural network, an open circuit fault detection and diagnosis method for three-level inverter is proposed. Firstly, the topology and working principle of three-level inverter are discussed. The fault types of main circuit of three-level inverter are analyzed. The open circuit faults of power switch devices of main circuit are divided into nine categories. These faults are simulated and analyzed by MATLAB software, and a simple fault diagnosis table is established. The Fourier transform method is used to extract the harmonic components of various complex fault waveforms as the characteristic parameters of fault diagnosis, and then the spectrum features of the fault waveforms are analyzed and used in the coding of fault samples. The fault diagnosis model based on neural network is established. The fault diagnosis method of neural network is combined with the diagnosis method of wavelet analysis. Finally, the fault diagnosis experiment platform of three-level inverter based on DSP is designed. The main circuit of three-level inverter is constructed, and the peripheral circuit of DSP is designed, including signal buffer protection circuit, driving circuit, voltage and current detecting circuit. The SVPWM signal generating program and fault diagnosis program of three-level inverter are programmed. The experimental results show that, The fault diagnosis method based on neural network for three-level inverter has certain feasibility and practical application value.
【學(xué)位授予單位】：安徽工程大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TM464

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本文編號：1583801