Adaptive Robust Actuator Fault Accommodation for a Class of Uncertain Nonlinear Systems with Unknown Control Gains

作者：Wu Yuefei; Ma Dawei; Yao Jianyong^*; Le Guigao; Mu Zhenxing; Yang Fan

来源：Mathematical Problems in Engineering, 2014, 2014: 217501.

DOI：10.1155/2014/217501

An adaptive robust fault tolerant control approach is proposed for a class of uncertain nonlinear systems with unknown signs of high-frequency gain and unmeasured states. In the recursive design, neural networks are employed to approximate the unknown nonlinear functions, K-filters are designed to estimate the unmeasured states, and a dynamical signal andNussbaumgain functions are introduced to handle the unknown sign of the virtual control direction. By incorporating the switching function.. algorithm, the adaptive backstepping scheme developed in this paper does not require the real value of the actuator failure. It is mathematically proved that the proposed adaptive robust fault tolerant control approach can guarantee that all the signals of the closed-loop system are bounded, and the output converges to a small neighborhood of the origin. The effectiveness of the proposed approach is illustrated by the simulation examples.

• 出版日期2014
• 单位南京大学