Finite-time compensation control with dead-zone estimation for a rehabilitative walker considering internal disturbance forces

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
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引用次数: 0

Abstract

This study discusses a finite-time compensation tracking control method for a rehabilitative training walker. The dynamic model with input dead zone was constructed to describe the walker, and a finite-time disturbance forces observation method was proposed based on the impact mechanism on tracking performance. This approach is novel in that the disturbance forces were observed in reverse through their effects on tracking performance, thus successfully obtaining the disturbance forces of the walker. To ensure the practical finite-time stability of the system, the nonlinear finite-time compensation tracking controller with stochastic configuration networks (SCN) dead-zone estimation was built for the rehabilitative walker. Simulation results and comparative analyses confirmed that the proposed compensation control method effectively restrains dead zone and internal disturbance forces.

考虑内部干扰力的康复助行器死区估计有限时间补偿控制。
本研究讨论了康复训练助行器的有限时间补偿跟踪控制方法。构建了带有输入死区的动态模型来描述助行器,并根据其对跟踪性能的影响机制提出了一种有限时间干扰力观测方法。这种方法的新颖之处在于通过干扰力对跟踪性能的影响反向观测干扰力,从而成功获得助行器的干扰力。为了确保系统的实际有限时间稳定性,为康复助行器建立了具有随机配置网络(SCN)死区估计的非线性有限时间补偿跟踪控制器。仿真结果和对比分析证实,所提出的补偿控制方法能有效抑制死区和内部干扰力。
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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