基于自适应动态编程的下肢外骨架的跟踪控制
Qiying Su1, Zhongcai Pei1, Zhiyong Tang1
1School of Automation Science and Electrical Engineering, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, China.
Biomimetics (Basel, Switzerland)
|August 25, 2023
概括
这项研究介绍了一种新的下肢外骨架,用于举重,由自适应动态编程 (ADP) 算法控制. 该系统展示了有效的跟踪控制,以提高外骨在苛刻任务中的性能.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 生物力学 生物力学
- 控制系统 控制系统
背景情况:
- 下肢外骨越来越多地用于军事,医疗和康复环境.
- 现有的外骨面临着严苛任务的精确控制的挑战,例如携带重物体.
研究的目的:
- 推出一种新的下肢外骨架设计,用于重物携带.
- 使用自适应动态编程 (ADP) 算法,为这种外骨开发最佳的控制策略.
主要方法:
- 设计了一个12度自由度 (DOF) 的下肢外骨,具有液压控制.
- 制定了外骨系统的状态方程和性能指数函数.
- 实施了一个值代自适应动态编程 (ADP) 方案来控制外骨架.
主要成果:
- 拟议的ADP算法实现了对外骨的高效跟踪控制.
- 控制方案显示,在携带重物件的任务中,性能和功能得到了增强.
- 开发的系统显示出在苛刻的应用中改善外骨能力的巨大潜力.
结论:
- 新的下肢外骨架设计适合重物携带.
- 适应动态编程 (ADP) 算法为复杂的外骨系统提供了精确有效的控制.
- 这项研究推进了外骨技术和控制策略的实际应用.
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