电动汽车IPMSM驱动系统集成故障在线诊断与容错控制研究

IPMSM驱动系统集成故障在线诊断与容错控制研究是实现电动汽车安全可靠运行的迫切科技需求，寻求故障在线诊断方法及容错控制技术是解决这一问题的重要途径。本项目基于考虑测量噪声和建模不确定性的IPMSM驱动系统健康及故障状态建模，研究无迹卡尔曼粒子滤波和自适应基波提取的希尔伯特-黄变换相结合实现永磁体均匀和非均匀退磁故障的在线诊断；攻克非均匀退磁特征间谐波自适应抑制技术和不同退磁程度下IPMSM矢量控制系统最大转矩电流比控制和弱磁控制技术实现退磁故障的自适应容错控制。研究完全解耦的等价空间法和广义似然估计相结合实现关键传感器故障统一在线诊断，揭示不同位置传感器故障与定子电流表征出的非线性特征间的本质联系实现其自适应容错控制。架构集成IPMSM驱动控制与故障在线诊断与容错控制为一体的电动汽车电驱动系统，开辟电动汽车安全可靠运行的新途径，为提升电动汽车集成故障在线诊断与容错控制技术水平做出新贡献。

The research on the interior permanent magnet synchronous motor (IPMSM) drive system integrated online fault diagnosis and fault-tolerant control is an urgent needed technology to achieve safe and reliable operating of electric vehicle (EV), and seeking for an online fault diagnosis method and fault-tolerant control technology is the important way to solve the problem. Based on the modeling of IPMSM drive system in healthy state and fault state allowing for the measurement noise and modeling uncertainty, the research is committed to achieve the online diagnosis of balanced and partial demagnetization fault by the unscented Kalman particle filter and Hilbert-Huang Transform based on adaptive fundamental wave extraction, and achieve the adaptive fault-tolerant control of demagnetization fault by solving the adaptive characteristics inter-harmonic suppression technology of partial demagnetization and the maximum torque per ampere (MTPA) and flux-weakening control technology of different demagnetization degree of failure for vector controlled IPMSM system. Moreover, the research is committed to achieve the unified online diagnosis of key sensor faults based on the full-decoupled parity space method and the generalized likelihood estimation, and achieve the adaptive fault-tolerant control by reveal the essential relationship between the different position sensor faults and the nonlinear characteristics of stator current. And then, the electric drive system of EV is build up integrated IPMSM drive control with online fault diagnosis and fault-tolerant control, the abovementioned researched aims to open up the new ways of implementing the safe and reliable operation of EV and make the new contribution for improving the technical level of EV integrated online fault diagnosis and fault-tolerant control.