关键词: 飞行器控制、导航技术 , 轨迹线性化控制 , 单隐层神经网络 , 高超声速

Abstract: A design scheme of an adaptive trajectory linearization control system for an aerospace vehi?cle was presented by using single hidden layer neural networks! SriLNN) . The existing uncertainties in the system were evaluated on-line by the approximation abilities of SHLNN, the effects of the un-certainties on the system performance were canceled by the neural network output. The approximation error was overcome by a robust adaptive controller to obtain a better perform of the closed-loop control system. A rigorous proof demostrates that the adaptive adjustment rules can ensure converging the sys?tem track error to an arbitrarily small neighborhood of zero. The simulation results for the aerospace vehicle show that the on-line neural network based adaptive algorithm has better response performance under the condition of hypersonic flight.

Key words: control and navigational technique of aerocraft , trajectory linearization control , single hid?den layer neural networks , hypersonic