A Feed-Forward Wavelet Neural Network Adaptive Observer-Based Fault Detection Technique for Spacecraft Attitude Control Systems

作者：Wen Xin^*; Wang Jiayi; Li Xin

来源：Chinese Journal of Electronics, 2018, 27(1): 102-108.

DOI：10.1049/cje.2017.11.010

• Single hidden layer feed-forward wavelet neural network
• Fault detection
• Nonlinear system
• Adaptive observer

This paper presents a novel neural network-based fault detection technique applicable to a class of nonlinear systems. The adaptive observer was designed for fault detection based on a single hidden layer feed-forward wavelet neural network. In order to guarantee network convergence, the network weights are updated according to a modified back-propagation algorithm, and the Lyapunov function is introduced to ensure stability. The proposed fault detection scheme was tested on the actuators of a typical spacecraft attitude control system, and the results demonstrated the effectiveness and feasibility of the proposed observer in detecting nonlinear system failure.

• 出版日期2018-1
• 单位南京航空航天大学