Barrier function-based adaptive continuous higher-order sliding mode controllers

IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Yacine Chitour , Hussein Obeid , Salah Laghrouche , Leonid Fridman
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引用次数: 0

Abstract

In this paper, two classes of continuous higher order adaptive sliding mode controllers based on barrier functions are developed for a perturbed chain of integrators with perturbations bounded by unknown functions. Both classes provide finite-time convergence of the state of the system to a predefined domain using a continuous control signal. The first class of adaptive controllers require few assumptions about the perturbation. However, it can provide unbounded control gains in general. To ensure bounded control gains in the case of a Lipschitz perturbation, a second class of adaptive controllers, called the adaptive higher order Super-Twisting (HOST) algorithm, is developed. The effectiveness of the proposed adaptive controllers is specifically assessed for a cart-pendulum system. Simulation results illustrate high performance in achieving stabilization, even in cases where the disturbance upper bound and its derivative are unknown.
基于势垒函数的自适应连续高阶滑模控制器
本文针对由未知函数约束扰动的积分器扰动链,开发了两类基于障碍函数的连续高阶自适应滑模控制器。这两类控制器都能利用连续控制信号使系统状态在有限时间内收敛到预定域。第一类自适应控制器对扰动的假设很少。不过,它一般可以提供无界控制增益。为了确保在 Lipschitz 摄动情况下的有界控制增益,我们开发了第二类自适应控制器,称为自适应高阶超扭曲(HOST)算法。针对小车摆系统,对所提出的自适应控制器的有效性进行了具体评估。仿真结果表明,即使在扰动上限及其导数未知的情况下,也能实现高性能的稳定。
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
Nonlinear Analysis-Hybrid Systems
Nonlinear Analysis-Hybrid Systems AUTOMATION & CONTROL SYSTEMS-MATHEMATICS, APPLIED
CiteScore
8.30
自引率
9.50%
发文量
65
审稿时长
>12 weeks
期刊介绍: Nonlinear Analysis: Hybrid Systems welcomes all important research and expository papers in any discipline. Papers that are principally concerned with the theory of hybrid systems should contain significant results indicating relevant applications. Papers that emphasize applications should consist of important real world models and illuminating techniques. Papers that interrelate various aspects of hybrid systems will be most welcome.
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