【作者】 陈永红；

【导师】 李中年；

【作者基本信息】 武汉理工大学 ， 控制科学与工程， 2010， 硕士

【摘要】 三相异步电机TPIM(Three-phase Induction Motor)因其结构简单、价格低廉、维护方便等优点在工农业生产中得到广泛应用,而其转子铝条性能的好坏,将直接影响TPIM的质量。TPIM转子铝条智能测控系统就是对转子铝条的质量进行检测,从生产线上严格控制转子铝条的质量,进而提高TPIM的整机质量。该文从TPIM的基本电磁理论着手,分析了转子铝条常见的故障及产生的原因,在此基础上研究了转子断条故障特征机理。根据转子断条故障特征机理,选用电流频谱分析法对故障特征进行分析处理。由于故障特征的频率与电源频率特别相近,分离故障分量比较困难,针对这种特点,论文中通过对自适应滤波、Park矢量法、扩展Park矢量法三种方法进行对比,最后选用扩展Park矢量法对采集到的定子电流进行分析,该方法从波形图中可清楚的看出转子是否存在故障,且随着断条数目的增加,故障成分的幅值也会增大。第二,研究了BP神经网络、模糊神经网络和模糊神经网络专家系统,通过分析它们的优点,在三者的基础上设计了基于模糊神经网络的专家系统,该系统是针对现场无法判断转子铝条的优劣时,采用智能诊断的方法,对转子铝条进行判断。该智能诊断系统,可以根据实际情况及时修改、更新样本,而且该系统对操作者的技术水平要求不高。第三,对智能测控系统的硬件和软件进行了设计。采用数字信号处理器和单片机双处理器结构。通过传感器采集定子三相电流,对定子电流进行相应分析处理,显示和存储。软件部分包括数字信号处理器的主程序、信号采集处理程序、双处理器通信程序等,还列出了扩展Park变换的基本程序。还设计了转子铝条的测试台,包括测试台的基本构架、定子夹具、传输带等相关机械装置。第四,对设计的系统进行仿真以检验系统的可行性。运用Labview软件,对TPIM和故障转子均建立了仿真模型,然后在此基础上对正常转子和故障转子分别进行了仿真,对仿真结果进行了对比分析。从仿真结果看,采用扩展Park矢量变换对定子电流进行矢量变换后,可以很迅速、准确地判断转子的质量,转子铝条智能测控系统合理性和可行性均得以验证。更多还原

【Abstract】 Three-phase Induction Motor is applied widely, because of its simple structure, low price and convenient vindicate advantages, and the performance of the aluminum rotor can affect the quality of the motor directly. The intellective diagnostic system can test and control strictly the quality of the aluminum rotor, and then improve the motor’s quality.The thesis proceeding from the basic electromagnetic theory, analyzes the common faults and the reasons of the aluminum rotor, and on the basis of these reasons has a research on the fault symptom of the rotor broken state. According to the fault symptom of the rotor broken state, the paper chooses the method of the current spectrum analysis to analyze. The frequency of the fault symptom is closed to the power supply, and it is difficult to separate the fault component, so through comparing with the adaptive filtering, Park trans-vector and the extended Park trans-vector, the thesis selects extended Park vector method to analyze the stator current. And the method can see whether the rotor has faults from the waveform which can imply the more amplitude of the faults as increasing the number of the spline segment.Secondly, the paper has a research on the BP neural network system, the fuzzy neural networks system and the fuzzy neural networks expert system, and designs the expert diagnosis system at the basic of the fuzzy neural networks, which is an intelligent diagnosis method for determining aluminum rotor. This system can update the sample quickly, and have a low desire to the operator’s technical ability.Thirdly, the thesis designs the hardware and the software of the system, selecting digital signal processor and single chip microcomputer dual processing structure. Collect three-phase stator current through the sensor, anlysize and dispose the current and diagnose, imply and save. The software contains the main program of the digital signal processor, the program of the signal collection and the program of the dual processing, and so on; at last. And design the testbench of the aluminum rotor which contains some machine sets, such as the basic framework, rotor clamp, and transmission band and so on.Lastly, the paper emulates the system to prove the feasibility of the system. Using the soft of Labview, estabilsh the TPIM model and the rotor fault model, and then simulate the correct rotor and fault rotor seperately, and compare the results. From the results, the quality of the rotor can be decided quickly and correctly, so the aluminum rotor intellective diagnostic system can be proved to be reasonable and feasible.更多还原