Fault-Tolerant Control and Disturbance Rejection for Polynomial Fault Systems Under Actuator Saturation

IF 3.8 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Changyuan Ji, Guochen Pang, Xiangyong Chen, Yang Liu, Jianlong Qiu, Jinde Cao
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引用次数: 0

Abstract

This paper addresses the fault-tolerant control problem for polynomial fault systems under actuator saturation. The fault is modeled as a polynomial function, while the unknown disturbance is generated by a known external system. An observer is used to simultaneously estimate the disturbance, fault, and system state. Furthermore, since saturation in real-world systems is not solely due to physical limitations of components, an anti-saturation compensator is introduced to compensate for the input and to address the coupling between the fault and saturation. An L 2 $$ {L}_2 $$ gain is used to limit the energy transfer from the saturation error to the system, ultimately achieving anti-saturation fault-tolerant control. Finally, two practical examples validate the effectiveness of the proposed method.

执行器饱和下多项式故障系统的容错控制与抗干扰
研究了执行器饱和情况下多项式故障系统的容错控制问题。故障建模为多项式函数,而未知扰动是由已知的外部系统产生的。使用观测器同时估计扰动、故障和系统状态。此外,由于现实系统中的饱和并不仅仅是由于组件的物理限制,因此引入了抗饱和补偿器来补偿输入并解决故障和饱和之间的耦合。利用l2 $$ {L}_2 $$增益限制从饱和误差到系统的能量传递,最终实现抗饱和容错控制。最后,通过两个实例验证了所提方法的有效性。
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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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