STATES AND PARAMETERS ESTIMATION OF THE ASYNCHRONOUS MACHINE BY USING THE OPTIMAL OBSERVERS PART II – ESTIMATION OF THE ROTOR RESISTANCE BY USING THE EXTENDING KALMAN FILTER THEORY
TUNING THE ROTOR RESISTANCE OF THE ASYNCHRONOUS MACHINE IS VERY IMPORTANT, ESPECIALLY WHEN IT IS USED TO IMPLEMENT THE FIELD- ORIENTED CONTROL (FOC) IN WHICH THE ROTOR RESISTANCE IS ONE OF MAIN PARAMETERS. A METHOD FOR THE ESTIMATION OF THE ASYNCHRONOUS MACHINE ROTOR RESISTANCE BASED ON THE KALMAN FILTER THEORY IS DISCUSSED IN THIS PAPER. THERE IS PRESENTED THE KALMAN FILTER GENERAL THEORY AND ITS APPLYING WAY FOR THE IMPLEMENTATION OF AN OPTIMAL RECURSIVE OBSERVER, NAMED EXTENDED KALMAN FILTER (EKF). THE OBSERVER WITH EKF FOR THE ROTOR RESISTANCE ESTIMATION IS SIMULATED BY USING MATLABSIMULINK FILES, AND THE CONCLUSIONS OF THE SIMULATION STUDY ARE PRESENTED.
