On-line parameter identification of asynchronous motor using improved least squares

The value of stator and rotor resistance, inductance is important to controller design and condition monitoring of an asynchronous motor system. This paper proposes an improved least squarest to identify the parameters of asynchronous motor. Instead of using signal of rotor magnetic linkage, we measuring the stator current, voltage and signal of rotational speed, made use of the method of forgetting factor recursive least squares to carry on recognizing motor parameters.