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基于非线性干扰观测器的线驱动上肢康复机器人滑模跟踪控制

Sliding Mode Tracking Control of a Wire-Driven Upper-Limb Rehabilitation Robot with Nonlinear Disturbance Observer.

作者信息

Niu Jie, Yang Qianqian, Wang Xiaoyun, Song Rong

机构信息

Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Engineering, Sun Yat-sen University, Guangzhou, China.

Injury Rehabilitation Hospital of Guangdong Province, Guangzhou, China.

出版信息

Front Neurol. 2017 Dec 4;8:646. doi: 10.3389/fneur.2017.00646. eCollection 2017.

Abstract

Robot-aided rehabilitation has become an important technology to restore and reinforce motor functions of patients with extremity impairment, whereas it can be extremely challenging to achieve satisfactory tracking performance due to uncertainties and disturbances during rehabilitation training. In this paper, a wire-driven rehabilitation robot that can work over a three-dimensional space is designed for upper-limb rehabilitation, and sliding mode control with nonlinear disturbance observer is designed for the robot to deal with the problem of unpredictable disturbances during robot-assisted training. Then, simulation and experiments of trajectory tracking are carried out to evaluate the performance of the system, the position errors, and the output forces of the designed control scheme are compared with those of the traditional sliding mode control (SMC) scheme. The results show that the designed control scheme can effectively reduce the tracking errors and chattering of the output forces as compared with the traditional SMC scheme, which indicates that the nonlinear disturbance observer can reduce the effect of unpredictable disturbances. The designed control scheme for the wire-driven rehabilitation robot has potential to assist patients with stroke in performing repetitive rehabilitation training.

摘要

机器人辅助康复已成为恢复和增强肢体功能障碍患者运动功能的一项重要技术,然而,由于康复训练过程中的不确定性和干扰,要实现令人满意的跟踪性能极具挑战性。本文设计了一种可在三维空间工作的线驱动康复机器人用于上肢康复,并为该机器人设计了带有非线性干扰观测器的滑模控制,以解决机器人辅助训练过程中不可预测干扰的问题。然后,进行了轨迹跟踪的仿真和实验来评估系统性能,将所设计控制方案的位置误差和输出力与传统滑模控制(SMC)方案的进行比较。结果表明,与传统SMC方案相比,所设计的控制方案能有效减少跟踪误差和输出力的抖动,这表明非线性干扰观测器可减少不可预测干扰的影响。所设计的线驱动康复机器人控制方案有潜力辅助中风患者进行重复性康复训练。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdb1/5723130/b0579499043e/fneur-08-00646-g001.jpg

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