Volume 32 Issue 09
Sep.  2006
Turn off MathJax
Article Contents
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.

     

  • loading
  • [1] 赵争鸣,袁立强,孟朔,等.通用变频器矢量控制与直接转矩控制特性比较[J].电工技术学报,2004,19(4):81-84 Zhao Zhengming,Yuan Liqiang,Meng Shuo,et al. Comparison of vector control and direct torque control for general inverters[J]. Transactions of China Electrotechnical Society,2004,19(4):81-84(in Chinese) [2] 王萍,李斌,黄瑞祥,等.基于神经网络的无速度传感器直接转矩控制系统的研究[J].电工技术学报,2003,18(2):5-8 Wang Ping,Li Bin,Huang Ruixiang,et al. Study of speed-sensorless direct torque control system based on neural-network[J]. Transactions of China Electrotechnical Society,2003,18(2):5-8(in Chinese) [3] 王晓东,石海峰.基于自适应线性神经元速度观测器在直接转矩控制系统中的应用[J].电工技术学报,2003,18(1):27-32 Wang Xiaodong,Shi Haifeng. Application of direct torque control system based on speed observer of ADALINE[J]. Transactions of China Electrotechnical Society,2003,18(1):27-32(in Chinese) [4] 张春,郭兴众.模糊直接转矩控制系统的设计与仿真研究[J].电子科技大学学报,2004,33(5):582-585 Zhang Chun,Guo Xingzhong. Design and simulation of fuzzy direct torque control system[J]. Journal of UEST of China,2004,33(5):582-585(in Chinese) [5] Stephen A Billings,Hua Liangwei. A new class of wavelet networks for nonlinear system identification[J]. IEEE Transactions on Neural Network,2005,16(4):862-874 [6] 陈硕,迁峰男,山田英二. 感应电机无速度传感器矢量控制系统的定子电阻在线辨识[J].中国电机工程学报,2003,23(2):88-92 Chen Shuo,Tsuji Mineo,Yamada Eiji.On-line identification of stator resistance for sensorless vector control system of induction motors[J]. Proceedings of the CSEE,2003,23(2):88-92(in Chinese) [7] Chen S. Nonlinear times series modeling and prediction using Gaussian RBF network with enhanced clustering and RLS learning[J]. Inst Elect Electron Lett,1995,31(2):117-118 [8] Barry G J,Ding L Y. Selecting radial basis function network centers with recursive orthogonal least squares training[J]. IEEE Transactions on Neural Networks,2000,11(2):306-314
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views(3492) PDF downloads(798) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return