PMSM flux-linkage identification for model predictive current control

To settle the problem of parameter mismatch under the model predictive control, a flux-linkage identification scheme is proposed for permanent magnet synchronous motor (PMSM) driven by model prediction current control (MPCC) in this paper. The electrical parameters of the PMSM will change under the influence of the external environment and temperature. The high dependence of MPCC on the model parameters will produce the current prediction error, in which the mismatch between flux-linkage and inductance has a great impact on the control effect. This paper proposes a flux-linkage identification method based on the error of the predicted current and the actual measured current, from which we extract the information containing the flux-linkage error and online compensates the estimated value of the flux-linkage in the prediction model. It largely decoupled the flux-linkage from inductance parameters and is insensitive to inductance changes. The theoretical proof and simulation results show that this method has high identification accuracy and can accurately identify the flux-linkage when the inductance parameters change.