Robust Speed-Stator Flux Tolerant Predictive Control for PMSM Drives with Parameters Disturbance Faults Diagnosis

In this study, a robust speed-stator flux tolerant predictive control (RS-SFTPC) strategy is proposed for the permanent magnet synchronous motor (PMSM) drives with parameters disturbance faults. The parameters disturbance sensitivity of speed external loop and stator flux internal loop is conducted for the PMSM drives system. Then, the inherent structure of predictive control model is modified by utilizing ultra-local model theory, and the improved tolerant predictive controller is applied to both the speed external loop and the stator flux internal loop. Moreover, a composite discrete extended state observer (ESO) is designed to diagnose parameters disturbance faults and observe input states, which can enhance the robustness of tolerant predictive control systems. The RS-SFTPC strategy are proposed for parameters disturbance faults diagnosis by utilizing the composite discrete ESO, which can eliminate the impact of parameters disturbance on the PMSM drives system. Finally, the comparison of simulation and experimental results show that the proposed RS-SFTPC method does not depend on any model parameters and always has better stator flux/ torque control performance than conventional PI-MPC method.