上海大学学报(自然科学版) ›› 2010, Vol. 16 ›› Issue (2): 135-140.

• 机电工程与自动化 • 上一篇    下一篇

具有拟人跨步的助步轮椅重心检测

龚佳伟,沈林勇,章亚男,钱晋武   

  1. 上海大学 机电工程与自动化学院,上海 200072
  • 收稿日期:2008-11-10 出版日期:2010-04-20 发布日期:2010-04-20
  • 通讯作者: 沈林勇(1962~),男,副研究员,研究方向为机器人技术. E-mail:shenlycn@163.com
  • 基金资助:

    国家高技术研究发展计划(863计划)资助项目(2006AA04Z224,2006AA040203);上海市重点学科建设资助项目(Y0102)

Center of Gravity Detection of Walk Assisting Wheelchair

 GONG Jia-Wei, SHEN Lin-Yong, ZHANG Ya-Nan, QIAN Jin-Wu   

  1. School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China
  • Received:2008-11-10 Online:2010-04-20 Published:2010-04-20

摘要:

具有拟人跨步的助步轮椅是一种基于仿生学的多功能电动助步轮椅.该轮椅在行走模式时,人和助步轮椅的合重心关系到轮椅步行时的稳定性,是助步轮椅步态控制的依据.提出一种具有拟人跨步的助步轮椅重心点检测系统,并对其进行数学建模,推导传感器的输出值和重心点的相互关系,设计具有双层结构的重心检测机构、重心检测系统信号处理电路和基于数字信号处理(digital signal processing,DSP)的数据采集系统.最后,对重心检测平台所测得的试验数据进行分析,得到整个系统的重复精度和系统误差,并对误差产生的原因进行分析.

关键词: 重心;数字信号处理(DSP);称重传感器

Abstract:

Walk assisting wheelchair is a kind of bionic multifunctional wheelchair. When the walk assisting wheelchair is in the walking mode, its stability depends on the detection of center of gravity (COG) of the combination of the wheelchair and the patient to provide a basis to the wheelchair gait control. We introduce a wheelchair COG detection system in this paper. We construct a mathematical model, and derive relationship between the sensor output and the COG. A double layer mechanical structure of the COG detection system is designed, with a signal processing circuit and a digital signal processing (DSP) based data acquisition system. By analyzing experimental data acquired by the DSP, precision and the system error are obtained.

Key words: center of gravity (COG); digital signal processing (DSP); weight sensor

中图分类号: