Observer-Based Fault Reconstruction and Fault-Tolerant Control for Nonlinear Systems Subject to Simultaneous Actuator and Sensor Faults

控制理论(社会学) 执行机构 观察员(物理) 非线性系统 断层(地质) 计算机科学 模糊逻辑 模糊控制系统 二次方程 李雅普诺夫函数 容错 故障检测与隔离 数学 控制(管理) 人工智能 分布式计算 物理 几何学 量子力学 地震学 地质学
作者
Huaguang Zhang,Yunfei Mu,Zhiyun Gao,Wei Wang
出处
期刊:IEEE Transactions on Fuzzy Systems [Institute of Electrical and Electronics Engineers]
卷期号:30 (8): 2971-2980 被引量:43
标识
DOI:10.1109/tfuzz.2021.3098341
摘要

In this article, we pay our attention on exploring observer-based actuator fault and sensor fault reconstruction associated with fault-tolerant control (FTC) for nonlinear systems, which are approximated by the Takagi–Sugeno (T-S) fuzzy method. By designing a brand-new unknown input observer (UIO), unknown state, sensor, and actuator faults can be reconstructed simultaneously, where some constraints imposed on the actuator fault such as the first derivative of fault being equal to zero required in the previous results are not needed in our work. With the support of this estimation information, a FTC scheme is well established, by which the system may recover its performance even in the occurrence of faults. Another contribution of the developed method is that all the stability criteria are deduced via fuzzy Lyapunov functions. It makes the obtained conditions more relaxed than the ones derived by quadratic Lyapunov functions. Finally, simulation results conducted on two practical dynamics are provided to show the validity of the achieved procedure.
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