Fault Tolerant Control for a Class of Nonlinear Systems with Application to Near Space Vehicle

被引：0
作者：
Yufei Xu
Bin Jiang
Gang Tao
Zhifeng Gao
机构：
[1] Nanjing University of Aeronautics and Astronautics,College of Automation Engineering
[2] University of Virginia,Department of Electrical and Computer Engineering
来源：
Circuits, Systems, and Signal Processing | 2011年 / 30卷
关键词：
Fault tolerant control; Near space vehicle; Adaptive backstepping; Neural network;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, a fault tolerant control (FTC) scheme, which is based on backstepping and neural network (NN) methodology, is proposed for a general class of nonlinear systems with known structure and unknown faults. Firstly, the linearly parameterized radial basis function (RBF) NNs are employed to approximate unknown system faults, and the network weights are adapted using adaptive on-line parameter-learning algorithms. Then an adaptive backstepping based FTC is designed to compensate for the effect of system faults. The asymptotical stability of the closed-loop system and uniform boundedness of the state tracking errors are proved according to Lyapunov theory. Finally, the designed strategy is applied to near space vehicle (NSV) attitude dynamics, and simulation results are presented to demonstrate the effectiveness of the proposed approach.
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页码：655 / 672
页数：17
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