Predictive Current Control of PMSM Based on Predictive Error Compensation
To address the problem of poor parameter robustness in mode predictive current control of per-manent magnet synchronous motor,this paper proposes a compensation strategy for current prediction er-rors.Firstly,the PMSM local model is introduced and the local model variables are obtained using a sliding mode observer.Secondly,the local model is used to calculate the current prediction error corresponding to all voltage vectors within a control cycle.Then,the estimated current prediction error is used to online cor-rect the prediction model,ensuring the accuracy of the predicted current in case of parameter disturbances.Finally,the simulation results demonstrate that compared to traditional MPC,the proposed method is almost no longer affected by model parameters and effectively improves parameter robustness while ensuring con-trol performance.
model predictive controlpermanent magnet synchronous motorspredicted current errorsslid-ing mode observerparameter robustness
NETL
NSTL
万方数据
维普
