Observer-Based Adaptive Fuzzy Fault-Tolerant Control for Nonlinear Systems Using Small-Gain Approach
Observer-Based Adaptive Fuzzy Fault-Tolerant Control for Nonlinear Systems Using Small-Gain Approach
复制标题
DOI：
10.1007/s40815-019-00607-z
复制
发表时间：
2019-02
影响因子：
4.3
通讯作者：
Hang Su;Weihai Zhang
中科院分区：
文献类型：
--
作者：
Hang Su;Weihai Zhang
研究了一类具有未建模动态、执行器故障和状态不可测的非线性系统的自适应容错控制问题。模糊逻辑系统用于逼近未知的非线性函数。设计了一种新的输入驱动滤波器，以科普不可测状态带来的问题，滤波器包含未知函数的下界。基于反推技术，设计了一个递归设计过程所考虑的非线性系统。结合输入-状态实用稳定理论和小增益方法，设计的自适应模糊控制器保证了闭环系统中所有变量的半全局一致最终有界性。本文的主要贡献在于不仅所研究的非线性系统更具有一般性，而且为所研究的非线性系统提出了一种有效的输出反馈控制方案。最后，仿真结果验证了我们所提出的控制方法的有效性。
This paper addresses the adaptive fault-tolerant control problem for a class of nonlinear systems with unmodeled dynamics, actuator faults and immeasurable states. Fuzzy logic systems are used to approximate the unknown nonlinear functions. A new input-driven filter is designed to cope with the problem caused by the immeasurable states, and the lower bound of the unknown functionis contained in the filter. Based on backstepping technique, a recursive design process is designed for the considered nonlinear system. Combining input-to-state practically stable theory with small-gain approach, the designed adaptive fuzzy controller guarantees the semi-global uniform ultimate boundedness of all variables in the closed-loop system. The main contributions of this paper lie in that not only the nonlinear system under consideration is more general, but also an effective output-feedback control scheme is proposed for the investigated nonlinear system. Finally, simulation results are depicted to validate the efficiency of our presented control method.