Volume 4 Number 1
January 2007
Article Contents
Dan Necsulescu, Yi-Wu Jiang and Bumsoo Kim. Neural Network Based Feedback Linearization Control of an Unmanned Aerial Vehicle. International Journal of Automation and Computing, vol. 4, no. 1, pp. 71-79, 2007. doi: 10.1007/s11633-007-0071-y
Cite as: Dan Necsulescu, Yi-Wu Jiang and Bumsoo Kim. Neural Network Based Feedback Linearization Control of an Unmanned Aerial Vehicle. International Journal of Automation and Computing, vol. 4, no. 1, pp. 71-79, 2007. doi: 10.1007/s11633-007-0071-y

Neural Network Based Feedback Linearization Control of an Unmanned Aerial Vehicle

  • Received: 2005-09-02
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

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Neural Network Based Feedback Linearization Control of an Unmanned Aerial Vehicle

Abstract: This paper presents a flight control design for an unmanned aerial vehicle (UAV) using a nonlinear autoregressive moving average (NARMA-L2) neural network based feedback linearization and output redefinition technique.The UAV investigated is non- minimum phase.The output redefinition technique is used in such a way that the resulting system to be inverted is a minimum phase system.The NARMA-L2 neural network is trained off-line for forward dynamics of the UAV model with redefined output and is then inverted to force the real output to approximately track a command input.Simulation results show that the proposed approaches have good performance.

Dan Necsulescu, Yi-Wu Jiang and Bumsoo Kim. Neural Network Based Feedback Linearization Control of an Unmanned Aerial Vehicle. International Journal of Automation and Computing, vol. 4, no. 1, pp. 71-79, 2007. doi: 10.1007/s11633-007-0071-y
Citation: Dan Necsulescu, Yi-Wu Jiang and Bumsoo Kim. Neural Network Based Feedback Linearization Control of an Unmanned Aerial Vehicle. International Journal of Automation and Computing, vol. 4, no. 1, pp. 71-79, 2007. doi: 10.1007/s11633-007-0071-y
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