一个混合控制器,用于肌肉骨机器人,针对工业元宇宙中的起重任务
IEEE transactions on cybernetics
|February 14, 2024
概括
这项研究介绍了一种混合控制器,用于执行举重任务的肌肉骨机器人. 该控制器结合了肌肉协同作用和自适应动态编程,以提高工业应用中的灵活性和适应性.
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:
- 肌肉骨机器人在制造业中比传统机器人具有优势.
- 控制这些机器人,特别是用于举重任务,存在重大挑战.
- 超宇宙技术为模拟和验证机器人控制策略提供了一个平台.
研究的目的:
- 建议和验证用于工业提升任务的肌肉骨机器人的混合控制器.
- 为了应对与灵活性,稳定性和适应性相关的控制挑战.
- 通过模拟和实验来证明拟议控制器的有效性.
主要方法:
- 一个混合控制器集成基于肌肉协同作用的辐射基函数 (RBF) 网络 (feedforward) 和自适应动态编程 (ADP) (反).
- RBF网络的特点是肌肉协同作用,而ADP则通过演员-关键结构优化控制.
- 使用元宇宙模拟和在上肢肌肉骨系统上的实验验证的验证.
主要成果:
- 拟议的混合控制器在起重任务中表现出令人满意的性能.
- 控制器有效地解决了最佳控制问题和肌肉刺激计算.
- 成功执行了ADP算法的趋同和稳定性分析.
结论:
- 开发的混合控制器对工业提升任务中的肌肉骨机器人有效.
- 肌肉协同作用和ADP的整合提供了一个强大的控制解决方案.
- 这项研究验证了metaverse平台用于机器人控制系统验证的使用.
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