Abstract
In order to improve the performance of heat protection for induction motor, a novel method for temperature monitoring of stator winding is presented. The occurring instants of the signal change can be localized by wavelet transform in time-frequency domains. The accuracy of the estimated stator and rotor temperature is mainly determined by the accuracy of the employed model and the involved machine parameters. By means of motor mathematical model, the stator resistance is identified and the wavelet network is utilized for motor speed estimation. The wavelet network determines the mapping relationship between the stator voltage, stator current, power factor angle and the rotor speed. For completing the network parameter initialization, the improved least squares algorithm is used in training procedure. According to the principle that the metal resistance depends on its temperature, the stator temperature can be calculated on-line. The simulation and experiment results show that the proposed technology improves heat stability for asynchronous motors.
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