On-line state and parameter estimation for condition monitoring of stator winding of induction motor

Weili Huang; Wei Du

doi:10.1117/12.807378

13 October 2008 On-line state and parameter estimation for condition monitoring of stator winding of induction motor

Weili Huang, Wei Du

Proceedings Volume 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration; 712910 (2008) https://doi.org/10.1117/12.807378
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

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.

Citation Download Citation

Weili Huang and Wei Du "On-line state and parameter estimation for condition monitoring of stator winding of induction motor", Proc. SPIE 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration, 712910 (13 October 2008); https://doi.org/10.1117/12.807378

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