基于改进STO的IPMSM退磁故障模型预测MTPA容错控制

针对内嵌式永磁同步电机发生退磁故障时系统模型和参数发生改变，控制器控制性能严重下降的问题，提出基于改进STO的退磁故障模型预测MTPA容错控制策略。首先针对电机发生退磁故障，分析模型参数变化，重新构建故障模型，并且求解了考虑故障状态的MTPA曲线。然后针对模型预测控制对参数变化的敏感性问题，构建改进的STO观测器，对永磁体磁链在线识别。最后设计电流模型预测控制器，对退磁故障的IPMSM进行容错控制。通过实验对比，构建的观测器对退磁故障情况的永磁体磁链有更好的观测性能，并且容错控制策略也更优秀。

IPMSM Demagnetization Fault Model Predictive MTPA Fault Tolerant Control Based on Improved STO

Aiming at the problem that the system model and parameters change when the demagnetization fault occurs in the interior permanent magnet synchronous motor, and the control performance of the controller declines seriously, a demagnetization fault model predictive MTPA fault-tolerant control strategy based on the improved STO was proposed.Considering the demagnetization fault of the motor, the change of model parameters was analyzed, the fault model was rebuilt, and the MTPA curve considering the fault state was solved. Then, aiming at the sensitivity of model predictive control to parameter changes, an improved STO observer was constructed to identify the permanent magnet flux on-line. Finally, a current model predictive controller was designed to fault-tolerant control IPMSM with demagnetization fault. Through experimental comparison, the constructed observer has better observation performance for permanent magnet flux linkage in the case of demagnetization fault, and the fault-tolerant control strategy is also better.