• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE International Conference on Information and Automation;IEEE International Conference on Automation and Logistics >Experimental study of rehabilitation robot system based on hierarchical intelligent control
【24h】

Experimental study of rehabilitation robot system based on hierarchical intelligent control

机译：基于分层智能控制的康复机器人系统的实验研究

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The rehabilitation of stroke patients has been paid much attention in the world, and it will significantly improve the efficiency by introducing the robot technology into the rehabilitation training. According to the mechanical structure of the robot, the functional requirements and safety requirements of the rehabilitation training are proposed in this paper. So this paper presents a new control strategy of rehabilitation robot based on hierarchical intelligent control, which consists of organization level, coordination level, and execution level controller. The Radical Basis Function (RBF) neural network is used as the organization level controller. The coordination level controller consists of the passive and active logic. The active/passive switching experiments and spasticity experiments are studied. The results prove the effectiveness of the active and passive control strategy.
机译：脑卒中患者的康复治疗已成为世界关注的焦点，将机器人技术引入康复训练中将大大提高效率。根据机器人的机械结构，提出了康复训练的功能要求和安全要求。因此，本文提出了一种基于层次智能控制的康复机器人控制策略，它由组织级，协调级和执行级控制器组成。径向基函数（RBF）神经网络用作组织级控制器。协调级别控制器由被动和主动逻辑组成。研究了主动/被动切换实验和痉挛实验。结果证明了主动和被动控制策略的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号