| 引用本文: | 朱燕飞,汪振杰,李传江,顾亚,房宣妤.集员估计在PMSM逆变器开路故障诊断中的应用[J].控制理论与应用,2026,43(2):443~448.[点击复制] |
| ZHU Yan-fei,WANG Zhen-jie,LI Chuan-jiang,GU Ya,FANG Xuan-yu.Application of set-membership estimation for open circuit fault diagnosis of PMSM inverters[J].Control Theory & Applications,2026,43(2):443~448.[点击复制] |
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| 集员估计在PMSM逆变器开路故障诊断中的应用 |
| Application of set-membership estimation for open circuit fault diagnosis of PMSM inverters |
| 摘要点击 134 全文点击 16 投稿时间：2024-01-25 修订日期：2025-04-15 |
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| DOI编号 10.7641/CTA.2024.40070 |
| 2026,43(2):443-448 |
| 中文关键词 永磁同步电机 逆变器 开路故障诊断 混合逻辑动态 估计 椭球残差 |
| 英文关键词 permanent magnet synchronous motor inverter open-circuit fault diagnosis mixed logic dynamic estimation ellipsoid residual |
| 基金项目 上海市自然科学基金项目(22ZR1445300)资助. |
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| 中文摘要 |
| 为了提高永磁同步电机驱动系统的安全性和可靠性, 针对逆变器开路故障问题, 本文提出了一种基于集员
估计的逆变器故障诊断方法. 首先通过电机驱动系统的离散开关信号和连续电流状态变量, 建立电机驱动系统的
数学模型; 再根据椭球集员估计的电流估计值与实际电流得到椭球残差电流, 并以估计椭球的长半轴作为阈值上
下界, 通过判断三相椭球残差电流是否超出阈值上下界来进行单管6种故障的诊断与定位, 实现在系统正常运行时
保持椭球残差电流在阈值内, 故障时减少诊断时间. 此外, 该方法只需要噪声未知但有界, 不需要了解噪声的部分
先验知识, 具有更小的保守性. 仿真对比表明手动设置阈值对设置依赖性较高, 自适应阈值诊断时间相对过长, 本
文提出的方法阈值依赖性弱、检测速度快、定位时间短、准确性高, 诊断时间约占电流周期的8%. |
| 英文摘要 |
| To improve the safety and reliability of the permanent magnet synchronous motor (PMSM) drive system, for
the issue of inverter open-circuit faults, this paper proposes an inverter fault diagnosis method based on set-membership
estimation. Firstly, the mathematical model of the motor drive system is established using the discrete switch signals and
the continuous current state variables of the motor drive system. Subsequently, based on the current estimated by ellipsoid
set-membership estimation and the actual current, the ellipsoid residual current is determined. The major semi-axis of
the estimated ellipsoid is used as the upper and lower bounds of the threshold. The six types of single-tube faults can
be diagnosed and located by determining whether the three-phase ellipsoid residual currents exceed these bounds. This
approach ensures that the ellipsoid residual current remains within the threshold during normal system operation while
reducing diagnosis time in the event of a fault. In addition, the method only requires unknown but bounded noise, and
does not require partial prior knowledge of noise, thereby reducing the conservatism. Simulation comparison shows that
manual threshold setting has a high dependence on setting, and the adaptive threshold diagnosis time is relatively long. The
proposed method has weak threshold dependence, fast detection speed, short positioning time and high accuracy, and the
diagnosis time accounts for about 8% of the current cycle. |
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