一种永磁同步电机失磁故障容错预测控制算法

针对永磁同步电机失磁故障导致牵引系统带负载能力降低的问题,提出一种基于磁链在线检测容错预测控制算法。首先,根据永磁同步电机预测控制模型,详细分析了永磁体发生失磁故障对电流控制和电机运行状态的影响。其次,设计了基于滑模变结构的观测器,利用滑模变结构等值控制原理,建立了实时估计永磁体磁链算式。通过永磁体磁链算式,进而计算状态电流观测值。最后,提出了容错预测控制算法。该算法将状态电流观测值作为反馈量输入到容错预测控制器中,以使响应电流准确跟踪给定电流,从而达到容错控制的目的。通过仿真及实验验证,证明了所提算法的可行性和有效性。

Fault-Tolerant Predictive Control for Demagnetization Faults in Permanent Magnet Synchronous Machine

In the rail transit traction systems,the permanent magnet demagnetization faults in the permanent magnet synchronous motor(PMSM) can lead to the problem of load capacity reduction.A fault-tolerant predictive control method based on the on-line detection of flux linkage is proposed.Firstly,the effect of current control and motor running state caused by demagnetization of permanent magnet will be analyzed in great detail with conforming to predictive control model of permanent magnet synchronous motor.Then,a real-time estimation equation for permanent magnet flux linkage is established based on the equivalent control principle of sliding mode variable structure,whereas the observer is designed based on sliding mode variable structure.Through the permanent magnet flux linkage formula,and then calculate the state current observation value.Finally,a faulttolerant predictive control algorithm is constructed.The algorithm used state current observation value as feedback to input the fault-tolerant predictive controller.And it can eliminate the current error,which will achieve the purpose of fault-tolerant control.Simulation and experimental results demonstrate the feasibility and effectiveness of the proposed algorithm.