| 邵杰,王业超.开关磁阻电机霍尔位置信号的故障诊断方法[J].电子测量与仪器学报,2024,38(1):43-52 |
| 开关磁阻电机霍尔位置信号的故障诊断方法 |
| Methods for diagnosing fault in Hall position signals ofswitched reluctance motors |
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| DOI： |
| 中文关键词: 开关磁阻电机 霍尔位置传感器 故障诊断 状态预测 |
| 英文关键词:switched reluctance motor Hall position sensors diagnosis of fault condition prediction |
| 基金项目:山东省自然科学基金面上项目（ZR2022ME136）资助 |
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| 中文摘要: |
| 开关磁阻电机（SRM）驱动系统的可靠运行，需要位置传感器提供可靠的位置信号。因此针对霍尔位置传感器时常故障影响电机正常工作的问题，研究一种有效的位置信号诊断方法对于提高系统工作可靠性是有重要意义的。本文提出了一种时间阈值与状态预测相结合的故障诊断方法。首先分析了位置传感器故障的类型和发生位置；其次对所提出的基于时间阈值结合状态预测的方法作了理论分析，该方法将3个位置信号组合的实际状态值与预测状态值作实时比对，结合状态值转换时间进行阈值约束从而检测出各种故障并达到快速准确的效果；最后，为了验证所提方法的有效性，以三相12/8结构电机作为研究对象，对该方法进行了实验验证。实验结果证明了该方法在故障检测中的可行性和有效性。另外，该方法无需复杂的计算和额外硬件即可实现，可推广到无刷直流电机（BLDC）等驱动系统使用。 |
| 英文摘要: |
| The reliable operation of a switched reluctance motor (SRM) drive system requires the position sensor to provide reliable position signals. Therefore, given the problem that the Hall position sensor fails from time to time, which affects the normal operation of the motor, it is of great significance to study an effective position signal diagnosis method to improve the reliability of the system operation. In this paper, a fault diagnosis method combining time threshold and state prediction is proposed. Firstly, the type and location of position sensor faults are analyzed; secondly, the proposed method based on time threshold combined with state prediction is theoretically analyzed, which compares the actual state values of the three position signal combinations with the predicted state values in real time, and threshold constraints are applied in combination with the state value transition time to detect various kinds of faults and achieve fast and accurate results; finally, to validate the proposed method, a three-phase 12/8 structure is used to diagnose faults with a three-phase 12/8 structure. Finally, to verify the effectiveness of the proposed method, an experimental validation of the method is carried out with a three-phase 12/8 structure motor as the research object. The experimental results prove the feasibility and effectiveness of the method in fault detection. In addition, the method can be realized without complex calculations and additional hardware and can be extended to be used in drive systems such as brushless DC motors (BLDC). |
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