Neural-network-identification-based adaptive control of wing rock motions

2005 ◽  
Vol 152 (1) ◽  
pp. 65-71 ◽  
Author(s):  
C.-F. Hsu ◽  
T.-Y. Chen ◽  
C.-M. Lin
Keyword(s):  
Neural Network ◽  
Adaptive Control ◽  
Wing Rock ◽  
Network Identification

scholarly journals Multiscale Chebyshev Neural Network Identification and Adaptive Control for Backlash-Like Hysteresis System

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Xuehui Gao ◽  
Ruiguo Liu
Keyword(s):  
Neural Network ◽  
Adaptive Control ◽  
Tracking Error ◽  
Closed Loop System ◽  
Chebyshev Neural Network ◽  
Hysteresis Nonlinearity ◽  
Control Scheme ◽  
Network Identification ◽  
Identification Approach ◽  
Adaptive Control Strategy

An adaptive control based on a new Multiscale Chebyshev Neural Network (MSCNN) identification is proposed for the backlash-like hysteresis nonlinearity system in this paper. Firstly, a MSCNN is introduced to approximate the backlash-like nonlinearity of the system, and then, the Lyapunov theorem assures the identification approach is effective. Afterward, to simplify the control design, tracking error is transformed into a scalar error with Laplace transformation. Therefore, an adaptive control strategy based on the transformed scalar error is proposed, and all the signals of the closed-loop system are uniformly ultimately bounded (UUB). Finally, simulation results have demonstrated the performance of the proposed control scheme.

scholarly journals Neural network adaptive control of wing-rock motion of aircraft model mounted on three-degree-of-freedom dynamic rig in wind tunnel

2018 ◽  
Author(s):  
D. I. Ignatyev
Keyword(s):  
Neural Network ◽  
Adaptive Control ◽  
Wind Tunnel ◽  
Degree Of Freedom ◽  
Control Laws ◽  
Aircraft Model ◽  
Wing Rock ◽  
Wing Rock Motion ◽  
Three Degree Of Freedom ◽  
High Angles Of Attack

High-angles-of-attack dynamics of aircraft are complicated with dangerous phenomena such as wing rock, stall, and spin. Autonomous dynamically scaled aircraft model mounted in three-degree-of-freedom (3DoF) dynamic rig is proposed for studying aircraft dynamics and prototyping of control laws in wind tunnel. Dynamics of the scaled aircraft model in 3DoF manoeuvre rig in wind tunnel is considered. The model limit-cycle oscillations are obtained at high angles of attack. A neural network (NN) adaptive control suppressing wing rock motion is designed. The wing rock suppression with the proposed control law is validated using nonlinear time-domain simulations.

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