电子科技 ›› 2023, Vol. 36 ›› Issue (2): 46-52.doi: 10.16180/j.cnki.issn1007-7820.2023.02.007

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智能助行器防跌倒柔顺控制研究

张钰文1,2,王亚刚1,2,丁大民1,2,林衍照1,2   

  1. 1.上海理工大学 光电信息与计算机工程学院,上海 200093
    2.上海康复器械工程技术研究中心,上海 200093
  • 收稿日期:2021-08-16 出版日期:2023-02-15 发布日期:2023-01-17
  • 作者简介:张钰文(1997-),女,硕士研究生。研究方向:智能控制技术。|王亚刚(1967-),男,博士,教授。研究方向:康复机器人、工业物联网、系统辨识。
  • 基金资助:
    国家重点研发计划资助项目(2020YFC2007502)

Study on Compliance Control for Falling Prevention of Smart Walking-Aids

ZHANG Yuwen1,2,WANG Yagang1,2,DING Damin1,2,LIN Yanzhao1,2   

  1. 1. School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China
    2. Shanghai Engineering Research Center of Assistive Devices,Shanghai 200093,China
  • Received:2021-08-16 Online:2023-02-15 Published:2023-01-17
  • Supported by:
    National Key R&D Program of China(2020YFC2007502)

摘要:

当用户使用助行器过程中有跌倒趋势时,需要使人体能快速恢复正常的站立体态并缓冲助行器紧急制动的惯性力。但是大部分柔顺控制运用机械臂模型较多,运用于助行器模型的防跌倒控制策略较为欠缺。针对此问题,文中提出了一种基于自适应滑模阻抗控制的新型防跌倒柔顺控制策略,并将其用于助行器模型,通过阵列式薄膜压力传感器与超声波传感器融合来达到提升助行器性能的目的。该策略能提高助行器的轨迹跟踪效果,实现对用户的安全防护。两种不同运行情况下的仿真和两种不同地形的模拟实验结果表明,人体可在4 s左右恢复正立,证明该策略能实现助行器运动的柔顺性。

关键词: 智能助行器, 滑模控制, 阻抗控制, 柔顺控制, 多传感器控制, 自适应, 动力学模型, 防跌倒

Abstract:

When users tend to fall down during the process of using walking-aids, it is necessary to quickly restore the human body to a normal standing posture and buffer the inertial force of the emergency braking of walking-aids. However, the compliance control is widely used in the mechanical arms, and the anti-fall control strategy applied to the walker model is relatively insufficient. To solve this problem, a new falling prevention compliance control strategy based on adaptive sliding mode impedance control is proposed and used in the walking-aids model to improve the performance of the walker through the fusion of array film pressure sensors and ultrasonic sensors. This strategy can improve the trajectory tracking effect of the walker and realize the safety protection for the users. The simulation results of two different operating conditions and two different terrain simulation experiments show that the human body can recover to stand upright in about 4 s, which proves that the strategy can achieve the motion flexibility of the walker.

Key words: smart walking-aids, sliding mode control, impedance control, compliance control, multi-sensor control, adaptive, dynamical model, fall prevention

中图分类号: 

  • TP273