基于神經(jīng)網(wǎng)絡的NPC三電平逆變器故障診斷方法的研究
[Abstract]:At present, high-voltage and high-power inverters are widely used, among which multilevel inverter is the main. Although the multilevel inverter has the advantages of low voltage requirement, high equivalent switching frequency and good output waveform, it also has its own defects. It requires more power switch devices and complex structure, which increases the probability of running failure, which not only increases the maintenance cost of the inverter, but also reduces the reliability of the system. Once the multilevel inverter fails, it will directly affect the quality and safety of production, resulting in serious losses. Therefore, the fault diagnosis of multilevel inverter has become a hot research topic at present. It has important practical significance and economic value to quickly diagnose the fault of multilevel inverter, which can effectively reduce the loss of production. In this paper, the NPC three-level inverter, which is the most commonly used multilevel inverter, is taken as the research object, and the performance of NPC three-level inverter after open circuit fault is analyzed. A fault diagnosis method for NPC three-level inverter based on wavelet packet transform and neural network is proposed. Based on the topology and working principle of NPC three-level inverter, the fault types of NPC three-level inverter are introduced in this paper. The fault model is built by Matlab/Simulink software and the simulation analysis is carried out. Secondly, the application of wavelet analysis and BP neural network in fault diagnosis is studied. Wavelet packet transform is used to decompose the fault voltage signal, extract the energy value of wavelet packet and construct the eigenvector as the input of neural network. Then a neural network fault classifier is designed for fault diagnosis of NPC three-level inverter. The feasibility and effectiveness of the proposed method are verified by simulation data. Finally, the experimental platform of NPC three-level inverter based on DSP chip is built, and various open circuit faults of the inverter are tested on the platform, and the experimental fault waveform is given. The interface design of NPC three-level inverter fault diagnosis system is completed by Matlab GUIDE (graphical user interface development environment. The experimental results show that the fault diagnosis system is simple, practical and has high fault diagnosis ability. Thus, the feasibility and effectiveness of the fault diagnosis method proposed in this paper are also verified.
【學位授予單位】:中國石油大學(華東)
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:TM464
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