永磁同步电机鲁棒双矢量模型预测电流控制

Two-Vector Based Robust Model Predictive Current Control of PMSM Drives

为了降低参数失配对永磁同步电机双矢量模型预测电流控制的影响,提出了一种永磁同步电机鲁棒双矢量模型预测电流控制。针对双矢量模型预测电流控制的预测电流值和电压矢量作用时间的参数敏感性进行分析,采用超局部模型的思想重构电流预测模型,设计扩展滑模观测器对超局部预测模型中的未知扰动项进行观测,并用Lyapunov函数证明其稳定性。仿真实验结果表明,所提方法消除了参数失配导致的电流预测值和电压矢量作用时间的误差,使PMSM系统在参数失配的情况下具有良好的性能,提高了PMSM系统的参数鲁棒性。

In order to reduce the impact of parameter mismatch on two-vector predictive current control,two-vector based robust predictive current control is proposed in this paper.The parameter sensitivity of current prediction value and voltage vector action time of traditional two-vector model predictive current control is analyzed,respectively.The prediction model is reconstructed by using the idea of ultra-local model.An extended sliding mode observer was designed to observe the unknown disturbance term in the ultra-local prediction model.The stability was proved by Lyapunov function.The simulation results indicate that the proposed method eliminates the error of current prediction value and voltage vector action time caused by the parameter mismatch in the traditional two-vector model predictive current control,which makes the PMSM system have better performance under the condition of parameter mismatch,and improves the parameter robustness of the PMSM system.