适应性强大的控制器用于智能外机器人机器人
Brahim Brahmi1, Hicham Dahani1, Soraya Bououden2
1Electrical Engineering Department, College Ahuntsic, Montreal, QC H2M 1Y8, Canada.
Sensors (Basel, Switzerland)
|January 23, 2024
概括
这项研究引入了一种新的适应性控制方法,用于康复机器人,提高精度和强度. 先进的控制框架有效地管理复杂的机器人动态,以改善患者的治疗结果.
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
- 生物医学工程 生物医学工程
背景情况:
- 康复机器人为残疾人提供了巨大的潜力.
- 这些系统中的复杂和不确定的动态带来了控制挑战.
- 先进的控制策略对于有效的康复机器人操作至关重要.
研究的目的:
- 为康复机器人开发一种新的自适应控制框架.
- 应对未知的系统动态和不确定性所带来的挑战.
- 为了实现精确的跟踪,稳健性,快速响应和减少聊天.
主要方法:
- 整合了修改功能近似 (MFAT) 和双整体非单元终端滑动模式控制 (DINTSMC).
- 包括一个更高阶的滑动模式观察员,以消除速度反要求.
- 通过模拟和实验测试对外骨架机器人的验证.
主要成果:
- 拟议的自适应控制框架证明了对未知系统动态的有效处理.
- 实现了精确的跟踪性能,高稳定性和快速响应.
- 稳定性分析通过利亚普诺夫理论证实了闭环系统的统一终极边界性.
结论:
- 新的自适应控制框架为控制康复机器人提供了有效的解决方案.
- 这种方法提高了准确性和稳定性,克服了固有的系统变异.
- 这一进步预计将改善康复机器人控制和患者的治疗结果.
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