Volume 22 Issue 3
Mar.  2007
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Article Navigation >  Journal of Aerospace Power  > 2007  >  22(3): 490-494
ZHU Yu-bin, FAN Si-qi, ZHANG Xiu-hua, LI Hua-cong. Multivariable adaptive decoupling control based on auto-tuning neurons for aeroengine[J]. Journal of Aerospace Power, 2007, 22(3): 490-494.
Citation: ZHU Yu-bin, FAN Si-qi, ZHANG Xiu-hua, LI Hua-cong. Multivariable adaptive decoupling control based on auto-tuning neurons for aeroengine[J]. Journal of Aerospace Power, 2007, 22(3): 490-494.
shu

Multivariable adaptive decoupling control based on auto-tuning neurons for aeroengine

  • 1.

    School of Power and Engine, Northwestern Polytechnical University, Xi'an 710072, China

  • 2.

    School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China

  • Received Date: 2006-03-09
  • Rev Recd Date: 2006-10-08
  • Publish Date: 2007-03-28
    Abstract
  • According to the requirements of aeroengine performance control,a new neural network called auto-tuning neurons and gradient descent learning method are presented.A multivariable decoupling control algorithm based on the auto-tuning neurons is used for aeroengine multivariable control systems in this paper.The main difference between an auto-tuning neuron and a general neuron is that there are adjustable parameters of the activation function used in an auto-tuning neuron.Unlike traditional fully connected neural network,there are no synaptic connections among the independent neurons.The emphasis is focused on the research of the algorithm and the properties of the controller,as well as their application to the aeroengine control by means of computer simulation.Finally the aeroengine multivariable control system is designed.Simulation shows that the system has perfect performance of decoupling and adaptive capabilities.

     

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    • References(8)
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