Estimation using extended Kalman filter of state vector of dynamic system for direct torque control of asynchronous motors

摘要

The computation is divided into two tasks, one slow and one fast. The slow task computes the matrices of predicted covariance (P asterisk ) and gain correctors (K), and updates the covariance matrix (P). The fast task calculates the predicted state vector (X asterisk ) from the input vector (U), and the estimated value of the state vector (X) from the predicted value, gains matrix and output vector (Y).