Indirect Filtering Control for Interconnected Time-Delay Systems With Deferred Constraints and Multiple Faults

IF 3.9 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Adaptive Control and Signal Processing Pub Date : 2024-09-28 DOI:10.1002/acs.3912
Guodong You, Hailong Zhang, Xingyun Li, Jinyuan Wu, Lu Liu
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Abstract

In this paper, an indirect filtering fault-tolerant control method is proposed for interconnected time-delay systems with multiple sensor and actuator faults. As is well known, directly utilizing the state information obtained from sensors with faults to constrain the actual state poses great challenges. This article utilizes conservative sensor fault loss information to indirectly apply time-varying asymmetric constraints to the actual state while ensuring compliance with fault state constraints. In addition, the conservatism requirement of the initial state is reduced by utilizing carefully constructed delay constraint functions. To solve the problem of “explosion of complexity,” the derivative of the output signal of the filter is used to replace the derivative of the virtual control rate. The Nussbaum function can effectively alleviate the impact of multiple actuator failures and unknown control directions on the system. The effectiveness of the proposed control strategy is verified through simulation examples.

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具有延迟约束和多重故障的互联时延系统的间接过滤控制
针对具有多个传感器和执行器故障的互联时滞系统,提出了一种间接滤波容错控制方法。众所周知,直接利用从故障传感器获得的状态信息来约束实际状态是一个很大的挑战。本文利用保守的传感器故障损失信息,在保证符合故障状态约束的同时,将时变非对称约束间接应用于实际状态。此外,利用精心构造的延迟约束函数降低了初始状态的保守性要求。为了解决“复杂度爆炸”的问题,采用滤波器输出信号的导数来代替虚拟控制速率的导数。Nussbaum函数可以有效缓解多个执行器故障和未知控制方向对系统的影响。通过仿真算例验证了所提控制策略的有效性。
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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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