Practical prescribed-time output tracking control of uncertain nonaffine systems with input saturation based on time base generator

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Yicong Lin , Chaoyang Dong , Qing Wang
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引用次数: 0

Abstract

To enhance adaptability in practical applications, active disturbance rejection control is extended to uncertain nonaffine systems with input saturation, achieving practical prescribed-time tracking control that drives the error to a sufficiently small neighborhood within a user-defined settling time. Based on a time-varying function called time base generators (TBG), a more general practical prescribed-time (PPT) nonlinear extended state observer (NLESO) is designed to estimate unknown states and total uncertainties while effectively suppressing peaking phenomena. By utilizing the PPT NLESO outputs, a TBG-based saturation control law is constructed to achieve PPT output tracking and address the nonaffine-in-control problem. The local PPT convergence of the closed-loop system under low-level input saturation is proved in a new paradigm. The numerical simulation and semi-physical simulation on the F-16 aircraft demonstrate the efficacy and superiority of the proposed method.
基于时基发生器的输入饱和不确定非仿射系统实用化定时输出跟踪控制。
为了增强实际应用中的适应性,将自抗扰控制扩展到具有输入饱和的不确定非仿射系统,实现了实际的规定时间跟踪控制,在用户定义的稳定时间内将误差驱动到足够小的邻域。基于时基发生器(TBG)的时变函数,设计了一种更通用实用的规定时间(PPT)非线性扩展状态观测器(NLESO),用于估计未知状态和总不确定性,同时有效抑制峰值现象。利用PPT NLESO输出,构建基于tbg的饱和控制律,实现PPT输出跟踪,解决非仿射控制问题。在低电平输入饱和条件下证明了闭环系统的局部PPT收敛性。对F-16飞机的数值仿真和半物理仿真验证了该方法的有效性和优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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