To address the diagnostic challenges of open-circuit faults in the switching devices of a T-type three-level inverter-driven permanent magnet synchronous motor (PMSM) control system, this paper proposes a fault localization and identification method based on a mixed logical dynamic (MLD) model. By analyzing the logical relationships between the current conduction paths and the bridge-arm terminal voltages under both normal and various open-circuit fault conditions, an MLD mathematical model encompassing both healthy and typical faulty operating conditions is established. During the diagnosis process, a dual-residual computation mechanism is implemented synchronously: the actual residual is generated by comparing the real-time measured inverter output current with the estimated current from the normal model; simultaneously, the theoretical residual is derived from the difference between the output current of a preset fault model and the estimated current of the normal model. Fault type identification is achieved by constructing discrimination criteria based on the amplitude, polarity, and mathematical relationships of the theoretical residuals. Precise localization of the faulty switch is then realized by evaluating the dynamic characteristics of the actual residual. Simulation and experimental results demonstrate that the proposed method can not only effectively identify multiple open-circuit fault types but also accurately locate the faulty device. Furthermore, it exhibits high diagnostic accuracy, rapid response, and strong robustness.
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基金资助
陕西省关键核心技术攻关重点项目(2024CY2-GJHX-10)
Key Project for Critical Core Technology Breakthroughs of Shaanxi Province(2024CY2-GHJX-10)
陕西省自然科学基础研究计划面上项目(2022JM-298)
Natural Science Basic Research Program General Project of Shaanxi Province(2022JM-298)