执行机构
控制理论(社会学)
容错
非线性系统
冗余(工程)
约束(计算机辅助设计)
计算机科学
跟踪误差
模糊逻辑
控制器(灌溉)
变量(数学)
控制工程
数学优化
数学
控制(管理)
工程类
人工智能
分布式计算
数学分析
物理
几何学
农学
生物
操作系统
量子力学
作者
Chen-Liang Zhang,Ge Guo
出处
期刊:IEEE Transactions on Fuzzy Systems
[Institute of Electrical and Electronics Engineers]
日期:2024-03-01
卷期号:32 (3): 1013-1022
被引量:3
标识
DOI:10.1109/tfuzz.2023.3317017
摘要
This paper investigates a prescribed performance control (PPC) problem of nonlinear strict- feedback systems subject to actuator faults. By introducing $ln$ -type performance functions, a constraint of output tracking error is established to prescribe the performance. Via the use of mapping and barrier error transformations, the constraint-handling issue is converted into a stabilization one of unconstrained variable. Then an adaptive controller involving a fuzzy logic system (FLS) to approximate the unknown nonlinearity is devised to stabilize the transformed variable, resulting to a universal PPC algorithm that applies to all types of asymmetric prescribed performance requirements. To prevent such requirements from being violated due to actuator faults, a novel dynamic redundancy mechanism is incorporated to implement the performance monitoring and switching from the faulty actuator to a healthy one. Two simulation examples are presented to verify the effectiveness and superiority of the proposed scheme.
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