带有执行器故障的切换非线性系统的自适应固定时间控制

IF 3.9 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Shuo Liu, Huaguang Zhang, Hongbo Pang
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引用次数: 0

摘要

本文研究了不确定开关严格反馈非线性系统的自适应模糊定时跟踪控制,该系统具有外部干扰和执行器故障,主要包括有效性损失和开关时变偏置故障。在不要求各子系统的模糊定时控制问题可解的情况下,建设性地设计了带停留时间的自适应状态依赖切换律和自适应模糊定时容错控制器,使输出在固定时间内基于切换定时命令滤波器跟踪参考信号。所设计的开关律依赖于自适应参数估计,可以防止芝诺行为的发生。最后,将该方法应用于开关RLC电路系统,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Adaptive Fixed-Time Control for Switched Nonlinear Systems With Actuator Faults

Adaptive Fixed-Time Control for Switched Nonlinear Systems With Actuator Faults

This article concerns the adaptive fuzzy fixed-time tracking control of uncertain switched strict-feedback nonlinear systems with external disturbances and actuator faults, which consist of the loss of effectiveness and switched time-varying bias fault. Fuzzy fixed-time control problem of each subsystem is not required to be solvable, an adaptive state-dependent switching law with dwell time and adaptive fuzzy fixed-time fault-tolerant controllers are designed constructively to make the output to track a reference signal in fixed time based on a switched fixed-time command filter. The designed switching law is dependent on adaptive parameter estimation, which can prevent the Zeno behavior from happening. Finally, to verify the effectiveness of the developed method, it is applied to switched RLC circuit system.

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来源期刊
CiteScore
5.30
自引率
16.10%
发文量
163
审稿时长
5 months
期刊介绍: The International Journal of Adaptive Control and Signal Processing is concerned with the design, synthesis and application of estimators or controllers where adaptive features are needed to cope with uncertainties.Papers on signal processing should also have some relevance to adaptive systems. The journal focus is on model based control design approaches rather than heuristic or rule based control design methods. All papers will be expected to include significant novel material. Both the theory and application of adaptive systems and system identification are areas of interest. Papers on applications can include problems in the implementation of algorithms for real time signal processing and control. The stability, convergence, robustness and numerical aspects of adaptive algorithms are also suitable topics. The related subjects of controller tuning, filtering, networks and switching theory are also of interest. Principal areas to be addressed include: Auto-Tuning, Self-Tuning and Model Reference Adaptive Controllers Nonlinear, Robust and Intelligent Adaptive Controllers Linear and Nonlinear Multivariable System Identification and Estimation Identification of Linear Parameter Varying, Distributed and Hybrid Systems Multiple Model Adaptive Control Adaptive Signal processing Theory and Algorithms Adaptation in Multi-Agent Systems Condition Monitoring Systems Fault Detection and Isolation Methods Fault Detection and Isolation Methods Fault-Tolerant Control (system supervision and diagnosis) Learning Systems and Adaptive Modelling Real Time Algorithms for Adaptive Signal Processing and Control Adaptive Signal Processing and Control Applications Adaptive Cloud Architectures and Networking Adaptive Mechanisms for Internet of Things Adaptive Sliding Mode Control.
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