Deadbeat Predictive Current Control of PMSM with Nonlinear Parameters Online Identification

The steady state error caused by mismatch or changes of parameters in the deadbeat predictive current control (DPCC) system of interior permanent magnet synchronous motor is presented in this paper. An improved model reference adaptive system (MRAS) is proposed. The nonlinear motor is viewed as reference model and the adjustable model is discretized by the fourth order Runge Kutta method. Inductance of d-q axis. resistance and flux linkage are identified step by step. The identified results are brought into DPCC in real time to eliminate the steady state error. Simulation results show that the improved MRAS can effectively solve the problem of rank deficiency and improve the robustness of DPCC.