输入饱和分数阶非线性约束系统的命令滤波自适应有限时间控制

IF 2.7 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Lu Chen, Fa Chen, Jian-an Fang
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引用次数: 0

摘要

本文研究了具有饱和输入的分数阶非线性约束系统(foncs)的基于命令滤波器的有限时间跟踪控制问题。首先,提出了一种新的分数阶Lyapunov稳定性引理,从而为foncs的有限时间收敛提供了可靠的策略。采用改进的误差补偿系统并引入辅助信号,提出了一种新的有限时间命令滤波反演技术。所提出的控制策略保证了滤波信号的有限时间收敛特性,并减轻了输入饱和所产生的影响。在此基础上,提出了一种改进的非线性状态相关函数(NSDF),在满足凹性条件的情况下解决状态约束问题。与现有的约束控制技术相比,该方法既保证了跟踪误差的有限时间收敛性,又摆脱了可行性要求。最后,提供了两个仿真场景来说明所建议策略的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Command filter-based adaptive finite-time control of fractional-order nonlinear constrained systems with input saturation

In this article, the command filter-based finite-time tracking control issue is explored for fractional-order nonlinear constrained systems (FONCSs) with saturated input. Firstly, a novel fractional-order Lyapunov stability lemma is put forward, thereby offering a reliable strategy for finite-time convergence of FONCSs. By employing an improved error compensation system and introducing auxiliary signal, a new finite-time command filtered backstepping technique is developed. The proposed control strategy guarantees the finite-time convergence characteristic of filtering signals, in addition to alleviate the impacts produced by saturated input. After that, a modified nonlinear state-dependent function (NSDF) is developed to solve the state constraint problem while fulfilling the concavity condition. In comparison to the existing constrained control techniques in FONCSs, this approach not only ensures finite-time convergence of the tracking error but also gets rid of feasibility demands. Ultimately, two simulation scenarios are supplied to illustrate the feasibility and usefulness of the suggested strategy.

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来源期刊
Asian Journal of Control
Asian Journal of Control 工程技术-自动化与控制系统
CiteScore
4.80
自引率
25.00%
发文量
253
审稿时长
7.2 months
期刊介绍: The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application. Published six times a year, the Journal aims to be a key platform for control communities throughout the world. The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive. Topics include: The theory and design of control systems and components, encompassing: Robust and distributed control using geometric, optimal, stochastic and nonlinear methods Game theory and state estimation Adaptive control, including neural networks, learning, parameter estimation and system fault detection Artificial intelligence, fuzzy and expert systems Hierarchical and man-machine systems All parts of systems engineering which consider the reliability of components and systems Emerging application areas, such as: Robotics Mechatronics Computers for computer-aided design, manufacturing, and control of various industrial processes Space vehicles and aircraft, ships, and traffic Biomedical systems National economies Power systems Agriculture Natural resources.
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