Adaptive fuzzy fault-tolerant control for unknown nonlinear systems with disturbances
Adaptive fuzzy fault-tolerant control for unknown nonlinear systems with disturbances
复制标题
DOI：
10.1109/cdc.2008.4739116
复制
发表时间：
2008-12
期刊：
影响因子：
--
通讯作者：
Ping Li;Guanghong Yang
中科院分区：
文献类型：
--
作者：
Ping Li;Guanghong Yang
本文利用模糊逼近理论研究了一类具有不确定执行器故障和外部扰动的未知非线性系统。利用反推技术，提出了一种新的自适应模糊控制方法，以适应执行器在运行过程中的不确定故障和处理外部扰动。所考虑的故障被建模为失效和锁定(卡在某个未知位置)。在被控系统的非线性函数、执行器故障和外部扰动都未知的情况下，证明了所提出的控制方案能够保证闭环系统的所有信号半全局一致最终有界，并且系统输出与参考信号之间的跟踪误差收敛到零的小邻域内。仿真结果验证了该控制方法的有效性。
A class of unknown nonlinear systems subject to uncertain actuator faults and external disturbances will be studied in this paper with the help of fuzzy approximation theory. Using backstepping technique, a novel adaptive fuzzy control approach is proposed to accommodate the uncertain actuator faults during operation and deal with the external disturbances. The considered faults are modeled as both loss of effectiveness and lock-in-place (stuck at some unknown place). It is proved that the proposed control scheme can guarantee all signals of the closed-loop system semi-globally uniformly ultimately bounded and the tracking error between system output and reference signal converge to a small neighborhood of zero, though the nonlinear functions of the controlled system as well as the actuator faults and the external disturbances are all unknown. Simulation results demonstrate the effectiveness of the control approach.