面向永磁同步电机系统旋转不平衡故障的在线诊断及区分方法研究

Rotor eccentricity, permanent magnet partial demagnetization and shaft misalignment are the principal rotational imbalance faults of permanent magnet synchronous motor systems, which seriously endanger the safety of system operation. The industry urgently needs the transition of online diagnostic technologies for such faults. However, the transition is confronted with difficulties due to similar fault characteristics of the rotational imbalance faults. At present, very few methods are capable of accurate discrimination while their demanding application prerequisites are the bottleneck during the transition. Aiming at this problem, this project studies the online diagnosing and distinguishing approaches for the rotational imbalance faults of permanent magnet synchronous motor system. Above all, mathematical models for online monitoring of the rotor imbalance faults will be constructed. The fundamental stator inductances with their mathematical transforms are utilized as the mutual fault indicators for eccentricity and partial demagnetization. Afterwards, fault state observers based on the constructed models will be designed and the online diagnosis and discrimination of rotor imbalance faults are realized. At the end of the project, the distinction between the misalignment and the rotor imbalances is studied to meet the needs of industrial sites. This part of research is conducted on the system model and the stator current modulation. The goal of this project is to provide accurate and reliable diagnostic approaches for the rotational imbalance faults of the entire permanent magnet machine system and hence improve the overall reliability of the electrified system.

转子偏心、永磁体局部失磁和轴不对中是永磁同步电机系统的主要旋转不平衡故障，严重危害系统运行安全，工业界迫切需要此类故障的在线诊断技术的产品化。然而，旋转不平衡故障的故障表征相似，为在线诊断带来困难，目前少数具备准确区分能力的方法附加应用条件苛刻，成为现有技术转化的瓶颈。针对该问题，本项目研究永磁同步电机系统旋转不平衡故障的在线诊断及区分方法。本项目首先构建用于在线监测的永磁同步电机转子故障数学模型，以基波定子电感及其数学变换作为转子偏心和永磁体局部失磁的共同故障指标。然后本项目根据在线监测数学模型，研究设计故障状态观测器，实现转子不平衡故障的在线诊断和区分。最后，本项目根据工业现场需求，从电机系统模型和定子电流调制两方面，研究轴不对中故障和转子不平衡故障的区分。本项目旨在为整个永磁电机系统提供准确和可靠的旋转不平衡故障诊断方法，提升电气化系统的整体可靠性。

转子偏心、永磁体局部失磁和轴不对中是永磁同步电机系统的主要旋转不平衡故障，严重危害系统运行安全，工业界迫切需要此类故障的在线诊断技术的产品化。然而，旋转不平衡故障的故障表征相似，为在线诊断带来困难，目前少数具备准确区分能力的方法附加应用条件苛刻，成为现有技术转化的瓶颈。针对该问题，本项目首先构建用于在线监测的永磁同步电机转子故障数学模型，以基波定子电感及其数学变换作为转子偏心和永磁体局部失磁的共同故障指标。然后本项目根据在线监测数学模型，研究设计故障状态观测器，实现转子偏心的在线诊断，但是实验效果没有仿真理想。最后，本项目根据工业现场需求，研究了基于电信号和振动信号结合的转子偏心和轴不对故障联合诊断。