用于肘部辅助和康复的软可穿戴机器人的控制:使用干扰观察器和Nonsmooth反的简化解决方案
概括
这项研究引入了一种用于软可穿戴机器人的新控制方法,以协助肘部运动和帮助康复. 基于干扰观察者的非平滑反 (DO-NSF) 方法提高了人机交互的性能和适应性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统工程 控制系统工程
- 康复工程 康复工程
背景情况:
- 柔软的可穿戴机器人为肘部辅助和康复提供了潜力.
- 现有的开放循环控制策略限制了定制和适应动态交互的能力.
- 由于软机器人非线性和不可预测的人机交互干扰,闭环控制具有挑战性.
研究的目的:
- 提出一种基于干扰观察者 (DO) 的非平滑反 (NSF) 方法,用于对肘部软可穿戴机器人的闭环控制.
- 提高前补偿,抑制残余干扰和非线性.
- 确保闭环系统的有限时间稳定性,同时平衡有效性和简单性.
主要方法:
- 设计一个量身定制的干扰观察器 (DO) 来分析系统特定的干扰.
- 使用非递归非平滑反 (NSF) 控制器来管理残余干扰和非线性.
- 利用系统和干扰的简洁模型来避免复杂的建模.
主要成果:
- 拟议的基于DO的NSF方法在广泛的实验中证明了其在现有方法上的优越性.
- 与健康受试者和中风患者的人类试验证实了增强的任务性能.
- 该方法在辅助场景中减少了肌肉疲劳,并在康复中改善了运动功能.
结论:
- 基于DO的NSF方法为软肘可穿戴机器人提供了有效和简单的闭环控制.
- 这种方法增强了人机交互,任务执行和康复结果.
- 该方法代表了辅助和康复机器人技术的重大进步.
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