控制理论(社会学)
反推
跟踪误差
计算机科学
控制器(灌溉)
模糊逻辑
补偿(心理学)
有界函数
模糊控制系统
自适应控制
控制工程
控制(管理)
数学
工程类
人工智能
心理学
数学分析
精神分析
农学
生物
作者
Yingkang Xie,Qian Ma,Jason Gu,Guopeng Zhou
标识
DOI:10.1109/tfuzz.2022.3181463
摘要
This article studies the adaptive fuzzy event-triggered fixed-time practical tracking control problem for flexible-joint robot system. Since the nonlinearities of the system are difficult to obtain, fuzzy logic systems are utilized. Second-order command filters are used to avoid the “explosion of complexity” problem. Moreover, a novel compensation system is proposed. The new error compensation system cannot only compensate for the error of the filter band, but also make the error converge in fixed time. By using backstepping technique, the virtual control laws and the adaptive law are designed. Notice that compared to the reporting achievements, our proposed virtual control laws are second-order derivable by using the novel switch function, which avoids “singularity hindrance” problem. To reduce communication pressure, the event-triggered controller is designed and Zeno behavior is avoided. Our proposed control strategy ensures that the tracking error can be arbitrarily small in fixed time and all variables of the closed-loop system remain bounded. Finally, simulation results are given to show the effectiveness of our control strategy.
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