针对小儿步态外骨骼系统的快速终端滑动模式控制与快速到达法则

IF 2.1 Q3 ROBOTICS
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引用次数: 0

摘要

摘要 人体-外骨骼耦合系统中的参数变化和外部扰动会延迟和阻碍临床康复中的有效步态跟踪。这一问题在儿科外骨骼系统中变得更具挑战性。本研究针对这一基准挑战,为不确定的下肢外骨骼引入了快速终端滑动模态与快速到达律(FTSM-RRL)控制方案,目的是在不同步行速度下辅助儿科步态。首先,通过一名 12 岁男童(体重 40 公斤,身高 132 厘米)所需步态轨迹的细节,演示了步态外骨骼系统的计算机辅助设计。提出了一种快速终端滑动模式控制器,该控制器采用变化的指数逼近规则,以保证系统状态在滑动流形上快速收敛,然后在有限时间内趋向原点。之后,在达到控制法则中加入了上限准则,以补偿不确定性和干扰作为一个集合参数所带来的不利影响。提出了 Lyapunov 理论,以确保达到和滑动阶段的跟踪误差迅速收敛。提出的 FTSM-RRL 策略可在慢速、自选和快速行走速度下获得理想的轨迹跟踪。通过数值实验,发现所提出的FTSM-RRL控制器在X方向上(71%)和Y方向上(62%)比PID控制器更有效,在X方向上(7%)和Y方向上(10%)比FTSM-ERL控制器更有效。在关节空间,所提出的 FTSM-RRL 控制在跟踪髋关节运动方面始终优于 PID 和 FTSM-ERL 控制。虽然在膝关节跟踪方面,拟议的控制器优于 PID 和 FTSM-ERL 控制器,但速度越高,改善程度越小。在踝关节跟踪方面,与 PID 控制相比,所提出的控制在低速时表现出大幅提升,但在自选速度和高速时表现相对较差。不过,在所有速度下,FTSM-RRL 的踝关节跟踪性能始终优于 FTSM-ERL。与 FTSM-ERL 控制相比,拟议的 FTSM-RRL 控制可加快髋关节和膝关节滑动面收敛 0.52 秒和 0.24 秒(慢速行走)、0.55 秒和 0.33 秒(自选行走)以及 0.61 秒和 0.09 秒(快速行走)。本研究获得的结果确保了利用外骨骼技术对儿科群体进行快速、高效的被动辅助步态训练。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast terminal sliding mode control with rapid reaching law for a pediatric gait exoskeleton system

Abstract

The parametric variations and external perturbations in the coupled subject-exoskeleton system delay and hinder effective gait tracking in clinical rehabilitation. This problem becomes more challenging in the case of the pediatric exoskeleton system. In this work, to address this benchmark challenge, a fast terminal sliding mode with a rapid reaching law (FTSM-RRL) control scheme is introduced for an uncertain lower-extremity exoskeleton aimed at assisting pediatric gait under different walking speeds. At first, the computer-aided design of the gait exoskeleton system is demonstrated with details of the desired gait trajectories of a male boy aged 12 years (weight: 40 kg, height: 132 cm). A fast terminal sliding mode controller is proposed with a varied exponential approaching rule to guarantee the rapid convergence of system states on the sliding manifold and then towards the origin in a finite period. After that, an upper limit criterion is involved within the reaching control law to compensate for the adverse effects of uncertainties and disturbances as a lumped parameter. Lyapunov’s theory is presented to ensure the expeditious convergence of the tracking error in the reaching and sliding phases. The proposed FTSM-RRL strategy is incorporated to obtain the desired trajectory tracking at slow, self-selected, and fast walking speeds. From numerical experiments, the proposed FTSM-RRL controller is found to be consistently effective ( \(> 71\%\) in X-direction and \(> 62\%\) in Y-direction) over the PID controller and ( \(> 7\%\) in X-direction and \(> 10\%\) in Y-direction) over the FTSM-ERL controller. In joint space, the proposed FTSM-RRL control consistently surpasses both PID and FTSM-ERL controls in tracking hip movement. While the proposed controller outperforms PID and FTSM-ERL for knee joint tracking, the extent of improvement diminishes at higher speeds. For ankle joint tracking, the proposed control exhibits substantial enhancement at slow speeds but comparatively poorer performance at self-selected and fast speeds when compared to PID control. However, FTSM-RRL consistently outperforms FTSM-ERL across all speeds for ankle joint tracking. Compared to FTSM-ERL control, the proposed FTSM-RRL control accelerates the hip and knee joint sliding surface convergence by 0.52s and 0.24s (slow walking), 0.55s and 0.33s (self-selected walking), and 0.61s and 0.09s (fast walking). The results obtained in this study ensure fast and efficient passive-assist gait training for the pediatric groups using exoskeleton technology.

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来源期刊
CiteScore
3.80
自引率
5.90%
发文量
50
期刊介绍: The International Journal of Intelligent Robotics and Applications (IJIRA) fosters the dissemination of new discoveries and novel technologies that advance developments in robotics and their broad applications. This journal provides a publication and communication platform for all robotics topics, from the theoretical fundamentals and technological advances to various applications including manufacturing, space vehicles, biomedical systems and automobiles, data-storage devices, healthcare systems, home appliances, and intelligent highways. IJIRA welcomes contributions from researchers, professionals and industrial practitioners. It publishes original, high-quality and previously unpublished research papers, brief reports, and critical reviews. Specific areas of interest include, but are not limited to:Advanced actuators and sensorsCollective and social robots Computing, communication and controlDesign, modeling and prototypingHuman and robot interactionMachine learning and intelligenceMobile robots and intelligent autonomous systemsMulti-sensor fusion and perceptionPlanning, navigation and localizationRobot intelligence, learning and linguisticsRobotic vision, recognition and reconstructionBio-mechatronics and roboticsCloud and Swarm roboticsCognitive and neuro roboticsExploration and security roboticsHealthcare, medical and assistive roboticsRobotics for intelligent manufacturingService, social and entertainment roboticsSpace and underwater robotsNovel and emerging applications
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