基于改进的粒子群优化算法设计和控制一款新的气动软机器人
Hongjun Meng1, Changbao Zhou1, Xingbo Yang1
1School of Automation and Software, Shanxi University, Taiyuan, China.
PloS one
|September 25, 2025
概括
研究人员开发了一种生物灵感的四足软机器人,使用了新的六角网状结构和气动执行器. 这种设计显著提高了控制精度和稳定性,并将跟踪错误减少了50%以上.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 生物启发工程 生物启发工程
- 材料科学 材料科学 材料科学
背景情况:
- 软机器人比传统的刚性机器人具有优势,包括提高灵活性,安全性和灵活性.
- 设计和控制软机器人系统带来了重大的工程挑战.
研究的目的:
- 为生物灵感的四足软机器人提出一种新的设计方法.
- 开发一个强大的控制策略,以提高机动和稳定性.
主要方法:
- 一个六角网状结构和气动执行器被设计用于四足软机器人运动.
- 软执行器使用了数据驱动的建模方法.
- 一个改进的粒子优化算法微调了PID控制参数.
主要成果:
- 软执行器模型通过实验实施来验证.
- 优化的控制算法在提高性能方面表现出有效性.
- 追踪角度误差减少了50%以上,提高了控制精度和稳定性.
结论:
- 拟议的生物灵感设计和优化的控制策略对四足软机器人有效.
- 该研究强调了软机器人在实现更高灵活性和精度方面的潜力.
- 这项研究有助于人类机器人交互和自主系统的进步.
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