Virtual flux linkage voltage prediction method based on Kalman filtering

The invention discloses a virtual flux linkage voltage prediction method based on Kalman filtering. The method is characterized by arranging a current sensor, and collecting real-time three-phase current data; according to the three-phase current data, solving a two-phase stationary coordinate of a voltage, and acquiring historical-voltage two-phase stationary coordinate parameter data of a same period; and using a Kalman filtering technology to construct a dynamic Kalman-filtering-voltage two-phase stationary coordinate parameter prediction model, inputting the collected real-time voltage two-phase stationary coordinate, the historical-voltage two-phase stationary coordinate of the same period and an updated mean square error into a dynamic model and predicting a voltage two-phase stationary coordinate parameter of a next moment. 本发明公开了种基于卡尔曼滤波的虚拟磁链电压预测方法，布置电流传感器，采集实时的三相电流数据；根据三相电流数据求解电压两相静止坐标，获取同期历史电压两相静止坐标参数数据；采用卡尔曼滤波技术构建动态卡尔曼滤波电压两相静止坐标参数预测模型，将实时采集到的电压两相静止坐标，历史同期电压两相静止坐标，以及更新的均方误差输入到动态模型，对下时刻的电压两相静止坐标参数进行预