Observer-Based Adaptive Fuzzy Control for Singular Systems with Nonlinear Perturbation and Actuator Saturation

Qingtan Meng;Qian Ma
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Abstract

This article investigates the adaptive fuzzy control problem for singular systems with actuator saturation and nonlinear perturbation, where the system consists of two coupled differential and algebraic subsystems. To cope with the actuator saturation, a new auxiliary system whose order is the same as the differential subsystem is introduced. With the help of the backstepping method and adaptive fuzzy control method, an observer-based adaptive output feedback tracking control approach is utilized. Under the designed controller, it is proved that the closed-loop system is impulse-free and regular, and all the involved signals are bounded. Furthermore, it is ensured that the tracking error can be adjusted by the errors between the control inputs and the corresponding saturated inputs, as well as the design parameters. Finally, simulation studies demonstrate the validity of the control approach.
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基于观测器的自适应模糊控制,用于具有非线性扰动和致动器饱和的奇异系统
本文研究了具有执行器饱和和非线性扰动的奇异系统的自适应模糊控制问题,该系统由两个耦合的微分和代数子系统组成。为了应对执行器饱和,引入了一个新的辅助系统,其阶数与微分子系统相同。在反步法和自适应模糊控制方法的帮助下,采用了基于观测器的自适应输出反馈跟踪控制方法。在所设计的控制器下,闭环系统证明是无脉冲和规则的,所有参与信号都是有界的。此外,还确保了跟踪误差可通过控制输入和相应饱和输入之间的误差以及设计参数进行调整。最后,模拟研究证明了控制方法的有效性。
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Table of Contents Front Cover IEEE Transactions on Artificial Intelligence Publication Information Front Cover Table of Contents
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