Application of neural networks for the design of flight control algorithms. II Adaptive tuning of neural network control law
Application of neural networks for the design of flight control algorithms. II Adaptive tuning of neural network control law
- New search for: Kondrat’ev, A. I.
- New search for: Tyumentsev, Yu. V.
- New search for: Kondrat’ev, A. I.
- New search for: Tyumentsev, Yu. V.
Abstract In this paper, we consider different approaches for the neural network controller tuning in the flight control system. Two of the most common tuning approaches in the adaptive control theory are applied. The first one uses parameter identification technique and consists in solving a real-time regression problem for the control law. The second approach is based on the Lyapunov direct method, which utilizes a tracking error as an absolute measure of tuning performance. The neural network control law are designed for the three-axis flight control problem and tested on the full nonlinear model of a fighter aircraft. Closed loop simulation results are presented and two adaptation algorithms are compared in the case of abrupt change of aircraft dynamics.
Document information
Application of neural networks for the design of flight control algorithms. II Adaptive tuning of neural network control law
Russian Aeronautics (Iz VUZ) ; 56 , 3 ; 257-265
2013-07-01
9 pages
Article (Journal)
Electronic Resource
English
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