控制理论(社会学)
反推
非线性系统
模糊逻辑
跟踪误差
观察员(物理)
控制器(灌溉)
李雅普诺夫函数
模糊控制系统
计算机科学
执行机构
容错
Lyapunov稳定性
自适应控制
控制(管理)
人工智能
分布式计算
物理
生物
量子力学
农学
摘要
Summary This paper focuses on the issue of the adaptive fuzzy fault‐tolerant control for a type of nonlinear system with input delay and disturbances. Fuzzy logic systems (FLSs) are used to estimate the unknown nonlinear quantities of the system. The Pade approximation is applied to counteract the negative effects of input delay on the system. The prescribed performance control based on error transformation helps to guarantee the transient performance of system errors. A fuzzy state observer is established to estimate the unmeasurable states of the system. Then, in presence of disturbances and actuator faults, a finite‐time control scheme is designed using the Lyapunov function and the backstepping technique. Based on Lyapunov stability, it is proved that the tracking error can converge to a specified range in a finite time, and all signals in the system are bounded in the controller design. In the end, the simulations of a second‐order system and a multi‐area interconnected power system certify the feasibility and effectiveness of the control strategy.
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