Model Predictive Control of Fault-Tolerant Hybrid-Excitation Flux-Switching Machine

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