对康复步行者进行有限时间补偿控制,并估计死亡区域,考虑到内部干扰力
Ping Sun1, Rui Shan1, Shuoyu Wang2
1School of Artificial Intelligence, Shenyang University of Technology, 110870, PR China.
ISA transactions
|July 16, 2024
概括
这项研究引入了一种新的有限时间控制方法,用于康复步行者. 这种方法有效地弥补了死区和内部干扰,提高了追踪性能,以改善康复.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 生物医学工程 生物医学工程
- 康复技术 康复技术 康复技术
背景情况:
- 康复训练步行者需要精确的控制才能有效地帮助病人.
- 输入死区和内部干扰会对这些系统的跟踪性能产生负面影响.
- 现有的控制方法可能无法在有限时间场景中充分应对这些挑战.
研究的目的:
- 为康复训练步行者开发有限时间补偿跟踪控制方法.
- 根据其对跟踪性能的影响,提出一种新的方法来观察干扰力.
- 确保康复步行器系统的实际有限时间稳定性.
主要方法:
- 为步行者构建一个动态模型,包含一个输入死区.
- 开发一个有限时间干扰观察器,利用对跟踪性能的影响机制.
- 一个非线性有限时间补偿跟踪控制器的设计,使用随机配置网络 (SCN) 来估计死区.
主要成果:
- 通过分析它们对跟踪性能的反作用,成功观察了干扰力.
- 拟议的控制器有效地估计和补偿了输入死亡区域.
- 模拟结果表明,该方法能够抑制死区和内部干扰.
结论:
- 开发的有限时间补偿跟踪控制方法显著改善了康复步行者的表现.
- 新的干扰观察技术提供了对系统不确定性的准确估计.
- 控制器确保了实用的有限时间稳定性,使其适合于现实世界的康复应用.
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