Weighted Factor Tuning for T-Type Three-Level Fault-Tolerant Inverters in DEP-UAV

To improve the flight reliability of distributed electric propulsion unmanned aerial vehicle (DEP-UAV), a novel fault-tolerant control strategy for T-type three-level inverters is proposed in this paper, and the weighting factor tuning of finite control set model predictive control (FCS-MPC) is implemented based on long short-term memory network (LSTM). Compared with a conventional fault-tolerant control strategy, the proposed method could effectively solve simultaneous failures of multiple switching devices and quickly adjust the weighting factors under multiple constraints changes to ensure stable system operation. The method's feasibility has been verified by simulating the operation of DEP-UAV in a full numerical simulation platform.