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Volume 24 Issue 5
May  1998
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Journal of Beijing University of Aeronautics and Astronautics  > 1998  >  24(5): 529-532.
Guo Yuan, Guan Zhidong, Liu Debo, et al. Comparison between quasi-static indentation testing and drop-weight impact testing on delamination onset damage[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(8): 1018-1021. (in Chinese)
Citation: Fan Zhengqiao, Li Chengjun. Intelligence Control Based on Self-Correcting Fuzzy-Neural Networks for Brushless DC Motor Drive[J]. Journal of Beijing University of Aeronautics and Astronautics, 1998, 24(5): 529-532. (in Chinese)
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Intelligence Control Based on Self-Correcting Fuzzy-Neural Networks for Brushless DC Motor Drive

  • Beijing University of Aeronautics and Astronautics,Dept. of Automatic Control

  • Received Date: 17 Apr 1997
  • Publish Date: 31 May 1998
    Abstract
  • It presents a self-correcting fuzzy-neural networks controller (SCFNNC) to realize the requirement of the start,regulating the speed,resisting disturbance and the brake for brushless DC motor.The SCFNNC implements good controlling rules by the method of regulating self-conrrecting gain parameters for the system.The paper emphatically develops designing method of self-correcting gain parameters,the design of fuzzy controller and the method to realize the rules of fuzzy control by artificial neural networks etc.The self-correcting gain parameters depend on expected values of the overshoot,steady-state error and dynamic velocity-drop for the system.According to systematic requirement fuzzy controller is designed,suitable rule table of fuzzy control is also determined,which is used to training neural networks.In order to reaching optimal performances complex control of combining self-correcting fuzzy-neural networks with Bang-Bang and proportional control is applied.It is shown by digital simulation that the system with SCFNNC has excellent dynamic and static performances,good robustness and ability for resisting disturbance.

     

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  • 1. 余永权,曾 碧.单片机模糊逻辑控制.北京:北京航空航天大学出版社,1995 2. 张立明.人工神经网络的模型及其应用.上海:复旦大学出版社,1993 3. Buja G S,Todesco F.Network implementation of a fuzzy logic controller.IEEE Transactions on Industrial Electronics,1994(12):663~665
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