约束不确定机器人系统的自适应安全控制

Haijing Wang, Jinzhu Peng, Fangfang Zhang, Yaonan Wang
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引用次数: 0

摘要

研究了一类约束不确定机器人系统的安全控制问题。首先,引入高阶控制势垒函数(hocbf)来处理系统的输出约束。为了解决不确定性问题,重新审视基于hocbf的框架,提出了一种在线更新未知参数的自适应方法。这样,即使存在参数不确定性,也能使系统输出保持在预定义的约束区域内,从而自适应地实现系统的安全性。最后,通过仿真实验验证了所提控制器的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Safety Control of a Constrained Uncertain Robotic System
The safety control problem of a constrained uncertain robotic system is investigated in this paper. First, the high-order control barrier functions (HoCBFs) are introduced to deal with the output constraints for he system. And to solve the uncertain problem and revisit the HoCBF-based framework, an adaptive approach is proposed to updating the unknown parameters online. In this way, the system safety can be achieved adaptively by keeping the system output within the predefined constrained region even in the presence of parametric uncertainty. Finally, simulation tests are carried out to verify the validity of the proposed controller.
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