Robust Adaptive Control based on Wavelet Neural Network for a Hypersonic Vehicle

摘要：

In order to enhance robustness of dynamic inversion controller for a general hypersonic vehicle, a stable robust adaptive control strategy based on wavelet neural network is proposed. An adaptive term implements by the wavelet neural network output to approximately cancel uncertainties, and also a robust term is designed to attenuate the approximation error with guaranteed performance and stability. The system asymptotically tracks the desired output by means of on-line studying uncertainties via wavelet neural network. Theoretical analysis is done to validate Lyapunov stability of the system. The simulation results show that the developed method can provide sufficient robustness and adaptability. This method is effective and deals with the problem of uncertain parameters preferably.

关键词： Hypersonic Vehicle Wavelet Neural Network Dynamic Inversion Control Robust Adaptive Control

作者: WANG Shou-bin WANG Xin-min YAO Cong-chao HUANG Yu

作者单位: School of Automation Northwestern Polytechnical University Xian 710129, China

会议类型: 国际会议

会议名称: 2011 IEEE 2nd International Conference on Computing，Control and Industrial Engineering(CCIE 2011)(第二届计算、控制与工业工程国际会议)

会议地点: 武汉

会议语种:英文

页码: 332-336

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）