控制理论(社会学)
执行机构
断层(地质)
模糊控制系统
模糊逻辑
控制器(灌溉)
控制系统
计算机科学
控制工程
自适应系统
自适应控制
工程类
控制(管理)
人工智能
地震学
地质学
电气工程
生物
农学
作者
Yong Ren,Zhijia Zhao,Choon Ki Ahn,Han‐Xiong Li
标识
DOI:10.1109/tfuzz.2022.3164512
摘要
This study addresses adaptive fuzzy control for an axially moving slung-load cable system (AMSLCS) of a helicopter in the presence of an actuator fault, system uncertainty, and disturbances with the aid of a fuzzy logic system (FLS). The actuator fault considered is depicted by a more general faulty plant that includes an unknown actuator gain fault and a fault deviation vector. First, to compensate for system uncertainty and the fault deviation vector, a fuzzy control technique is adopted. Then, under the introduced FLS, a novel adaptive fuzzy control law is developed by employing a rigorous Lyapunov derivation. The closed-loop system of the AMSLCS is proved to be uniformly bounded even when considering the actuator fault, system uncertainty, and disturbances. Finally, a simulation is executed to expound the performance of the developed controller.
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