容错型混合励磁磁通切换电机的模型预测控制

为了提高电机驱动系统的带故障运行性能,实现电机的最小铜耗容错运行,提出一种基于模型预测控制算法的容错型混合励磁磁通切换(FTHEFS)电机容错控制方法。以1台6/13极FTHEFS电机为控制对象,针对电机单相绕组断路故障,基于三相四桥臂逆变器拓扑,分别对模型预测转矩控制和无差拍模型预测磁链控制算法下的最小铜耗容错控制方法进行研究分析,并对所提容错控制方法的可行性和有效性进行验证。研究结果表明:两种控制方法均能使故障前后转矩、转速和定子磁链保持不变,同时降低故障后的电机铜耗,保证系统稳定运行。与模型预测转矩控制相比,无差拍模型预测磁链容错控制能够在降低开关频率的同时减小故障前后的磁链脉动。

Model Predictive Control of FaultTolerant HybridExcitationFluxSwitching Machine

In order to improve the faulttolerant performance of the machine drive system and achieve the minimum copper loss, a faulttolerant control method for faulttolerant hybridexcitation fluxswitching (FTHEFS) machine based on model predictive control algorithm was proposed. Taking a 6/13pole FTHEFS machine as the control object, under the condition of the threephase fourleg inverter topology and the open circuit failure of singlephase winding, the minimum copper loss faulttolerant methods based on the model predictive torque control and deadbeatmodel predictive flux control algorithms were studied and analyzed, respectively. The feasibility and effectiveness of the proposed faulttolerant control method were verified. The research results showed that both methods could make the speed, torque and stator fluxlinkage almost unchanged, ensuring the stable operation of the system. Compared with model predictive torque control, the deadbeatmodel predictive flux control had smaller fluxlinkage ripple before and after the open circuit failure while the switching frequency was reduced.