Volume 32 Issue 09
Sep.  2006
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Liu Lin, Shen Songhua, Liu Qianget al. Application of wavelet network for induction motor in direct torque control system operating at low speed[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(09): 1067-1071. (in Chinese)
Citation: Liu Lin, Shen Songhua, Liu Qianget al. Application of wavelet network for induction motor in direct torque control system operating at low speed[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(09): 1067-1071. (in Chinese)

Application of wavelet network for induction motor in direct torque control system operating at low speed

  • Received Date: 25 Oct 2005
  • Publish Date: 30 Sep 2006
  • To improve the low-speed dynamic performance of induction motor DTC(direct torque control), a novel method of stator resistance identification based on WN(wavelet network) was presented. The inputs of the WN were the current error and the change in the current error and the output of the WN was the stator resistance error. The synthesized method of ROLSA(recursive orthogonal least squares algorithm) and improved Givens transform was used to fulfill the network structure and parameter identification. By the use of wavelet transform that accurately localized the characteristics of a signal both in the time and frequency domains, the occurring instants of the stator resistance change could be identified by the multi-scale representation of the signal. Once the instants were detected, the accurate stator flux vector and electromagnetic torque were acquired by the parameter estimator, which made the DTC applicable in the low region, and the inverter control strategy was optimized. The simulation results show that the proposed method can efficiently reduce the torque ripple and current ripple, and is superior to the BP(backward propagation) neural network.

     

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