基于鲁棒自适应学习率神经网络状态观测器的永磁同步电机固定时间滑模控制

This article proposes a robust controller based on fixed-time sliding mode control (FxTSMC) and a neural network to improve the speed tracking control performance of a permanent magnet synchronous motor (PMSM) under uncertainties and disturbances. First, a new reaching law is introduced, which offers a faster fixed-time convergence rate compared to existing methods. Second, to address the effects ...