Optimized Adaptive Feedback Linearization Control of Wing Rock by Using Neural Network and NSGA_II

著者

  • Rahim Asadi Department of Aerospace, Malek-Ashtar University, Tehran, Iran
  • Seyed Hossein Sadati Department of Aerospace, Malek-Ashtar University, Tehran, Iran
  • Alireza Abaspour Department of Aerospace, Malek-Ashtar University, Tehran, Iran

要旨

Wing rock is one of the well-known instabilities that occur in aircraft dynamics at moderate to high angles of attack. In this phenomenon aircraft dynamics can display an oscillatory lateral behavior that manifests itself as a limit cycle known as wing rock. In this paper a new approach is introduced for designing the controller for this phenomenon which has the optimal performance while the controller is adaptive and robust against severe disturbances. In the proposed controller the non-dominated sorting genetic algorithm II (NSGA_II) method is used to tune the controller linear gains in aim to decrease the controller tracking error, and a neural network is used for adaptation purposes. The simulation result showed that the proposed approach has better performance in comparison with conventional controllers.  Keywords: Wing rock, nonlinear model,  feedback linearization, neural network , optimal control,  NSGA_II Cite this Article:Rahim Asadi, Seyed Hossein Sadati, Alireza Abaspour. Optimized Adaptive Feedback Linearization Control of Wing Rock By Using Neural Network and NSGA_II. Journal of Aerospace Engineering and Technology. 2015; 5(1): 1–10p.

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発行日

2015-03-25

巻号

巻 5 号 1 (2015)

セクション

Research Articles

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