Adaptive Super-Twisting Terminal Sliding Mode Observer-Based Stabilizer for Uncertain Nonlinear Time-Delay Systems With Unmatched Disturbances

IF 3.9 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Ming-Chang Pai
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Abstract

The aim of this paper is to propose a novel adaptive observer-based stabilizer for a class of uncertain nonlinear time-delay systems subject to unmatched external disturbances. A terminal sliding mode controller based on an adaptive super-twisting terminal sliding mode observer is developed by using the linear matrix inequality (LMI) technique. Under the proposed scheme, the closed-loop system converges to origin in finite time as the matching condition is satisfied and converges to the uniform ultimate bound in the effects of unmatched external disturbances. The design of the observer and the stabilizer does not require the upper bound of uncertainties and external disturbances. The chattering phenomenon is eliminated. The observer and the stabilizer can be efficiently designed from the solutions of LMIs. Simulation results illustrate the effectiveness of the proposed control scheme.

Abstract Image

不确定非匹配扰动非线性时滞系统的自适应超扭终端滑模观测器镇定器
针对一类不确定非线性时滞系统,提出了一种基于观测器的自适应镇定器。利用线性矩阵不等式(LMI)技术,提出了一种基于自适应超扭转终端滑模观测器的终端滑模控制器。在该方案下,闭环系统在满足匹配条件的情况下在有限时间内收敛到原点,在不匹配的外部扰动作用下收敛到一致极限界。观测器和稳定器的设计不需要不确定性和外部干扰的上界。消除了抖振现象。根据lmi的解可以有效地设计观测器和稳定器。仿真结果验证了所提控制方案的有效性。
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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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