Robust H∞ adaptive model following control for fractional-order systems with polytopic and bounded uncertainties subject to input saturation

IF 1.7 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Transactions of the Institute of Measurement and Control Pub Date : 2024-04-25 DOI:10.1177/01423312241233622
Mohammad Fiuzy, S. Shamaghdari
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Abstract

This paper investigates a type of robust observer-based tracking control for the well-known inverted pendulum as an uncertain fractional-order system with two-norm bounded uncertainties subject to input saturation along with external disturbance that focuses on the case of a fractional-order α such that [Formula: see text]. The main goal is to design a robust model following tracking control servomechanism by the side of stability analysis. This paper addresses the well-known quadratic Lyapunov function in addition to the Gronwall–Bellman lemma and the sector condition of the saturation function stability synthesis. This paper proposes an outstanding strategy to achieve the best model following robust observer in the cast of output-feedback control subject to input saturation in the framework of an uncertain fractional-order system based on the linear matrix inequality (LMI) solution. The LMI procedure can be used to achieve static output-feedback tracking control and observer gain. Several valuable theorems support this approach, and various simulation scenarios are available to showcase its effectiveness.
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输入饱和情况下具有多态和有界不确定性的分数阶系统的鲁棒 H∞ 自适应模型跟随控制
本文针对众所周知的倒立摆,研究了一种基于观测器的鲁棒跟踪控制,倒立摆是一个不确定的分数阶系统,具有二规范有界不确定性,受输入饱和和外部扰动的影响。其主要目标是通过稳定性分析设计一种鲁棒的模型跟随跟踪控制伺服机构。本文除了讨论众所周知的二次方 Lyapunov 函数外,还讨论了 Gronwall-Bellman Lemma 和饱和函数稳定性合成的扇形条件。本文基于线性矩阵不等式(LMI)求解,在不确定分数阶系统框架下,提出了在受输入饱和影响的输出反馈控制中实现最佳模型跟随鲁棒观测器的出色策略。LMI 程序可用于实现静态输出反馈跟踪控制和观测器增益。一些有价值的定理支持这种方法,各种模拟场景也可展示其有效性。
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来源期刊
CiteScore
4.10
自引率
16.70%
发文量
203
审稿时长
3.4 months
期刊介绍: Transactions of the Institute of Measurement and Control is a fully peer-reviewed international journal. The journal covers all areas of applications in instrumentation and control. Its scope encompasses cutting-edge research and development, education and industrial applications.
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