安全控制器设计用于自行车机器人的循环运动,使用控制Lyapunov功能和控制屏障功能.
Lei Guo1, Hongyu Lin2, Yuan Song1
1School of Intelligent Engineering and Automation, Beijing University of Posts and Telecommunications, Beijing, China.
ISA transactions
|December 25, 2024
概括
这项研究介绍了一种新的安全控制器,用于自行车机器人执行循环运动. 控制器通过使用二次编程 (QP) 集成控制莱普诺夫函数 (CLF) 和控制屏障函数 (CBF) 约束来提高安全性并减少工作量.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 自动驾驶汽车的动力学
背景情况:
- 没有轨道或机械调节器的自行车机器人带来了独特的安全控制挑战,特别是在循环运动期间.
- 在不可避免的有限输入干扰下确保稳定性和安全性对于实际的机器人应用至关重要.
研究的目的:
- 为了调查和解决前轮驱动自行车机器人执行循环运动的安全控制问题.
- 建议对驱动角度速度的限制,这对于实现稳定的圆形轨迹至关重要.
主要方法:
- 开发一个安全的控制器,集成输入到状态稳定性 (ISS) 的控制Lyapunov功能 (CLF) 和输入到状态安全性 (ISSf) 的控制屏障功能 (CBF).
- 使用二级编程 (QP) 实现集成的CLF-CBF控制器,以管理控制工作并提高安全性.
- 通过比较模拟和实体实验对真实自行车机器人的验证.
主要成果:
- 与现有方法相比,拟议的CLF-CBF-QP控制器在模拟中表现出更好的安全性能.
- 控制器有效地减少了控制力,同时在循环运动中保持稳定性.
- 物理实验证实了控制器能够实现稳定的循环运动的能力,并验证了其有效性.
结论:
- 集成的ISS-CLF-ISSf-CBF-QP控制器为循环运动中的自行车机器人的安全控制提供了强大的解决方案.
- 这种方法有效地平衡了安全性,稳定性和在输入干扰存在时的控制效率.
- 这些发现为具有类似动态的更安全,更可靠的自主机器人系统铺平了道路.
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