Electronics Optics & Control, Volume. 20, Issue 5, 63(2013)
Design of Adaptive Backstepping Controller for High Maneuvering Flight Based on RBF Neural Network
In view of such problems of aircraft in high maneuvering flight as the uncertain aerodynamic parametersso many unknown external interference factors and possible errors in system modelinga nonlinear adaptive backsteeping controller based on RBF neural network was designed.The generalized uncertainty of aircraft in high maneuvering flight was online approximated by RBF neural networkand the weight matrix of neural network was online updated by adaptive law.The “terms explosion” problem in backstepping design caused by repeated derivation of the virtual control law was solved through introducing a first order filter.By construction of Lyapunov functionit was proved that all signals in the closedloop system were bounded and the tracking error was converged to a small neighborhood around zero.High maneuvering flight simulation of some aircraft was carried outand results showed that the designed controller has good tracking effectiveness and robustness.
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FENG Fuqin, ZHANG Shengxiu, CAO Lijia, WANG Linxu, ZHAO Wei. Design of Adaptive Backstepping Controller for High Maneuvering Flight Based on RBF Neural Network[J]. Electronics Optics & Control, 2013, 20(5): 63
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Received: May. 11, 2012
Accepted: --
Published Online: May. 14, 2013
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