设计用于基于图像的未校准视觉伺服系统的有限时间自适应控制器,机器人和摄像机模型存在不确定性
Zhuoqun Zhao1,2, Jiang Wang1, Hui Zhao3
1School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China.
Sensors (Basel, Switzerland)
|August 26, 2023
概括
本研究介绍了基于图像的未校准视觉伺服器 (IBUVS) 系统的有限时间自适应控制器. 控制器有效地管理机器人和摄像机模型的不确定性,确保精确的轨迹跟踪在有限的时间.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统 控制系统
- 计算机视觉 计算机视觉
背景情况:
- 基于图像的非校准视觉伺服器 (IBUVS) 系统面临挑战,因为机器人和摄像机模型的不确定性随时间变化而变化.
- 准确的控制对于IBUVS系统来说至关重要,以实现精确的轨迹跟踪.
研究的目的:
- 为IBUVS系统提出一种新的有限时间自适应控制器.
- 为了解决机器人和摄像机模型中的不确定性,使用深度独立的雅可比安矩阵.
- 提高控制质量,确保有限时间的融合.
主要方法:
- 为深度,动力学和动态参数制定适应性定律.
- 一个具有非线性比例差和前补偿的有限时间自适应控制器的设计.
- 连续非平滑非线性函数对反误差的应用.
- 运用利亚普诺夫和有限时间稳定性理论进行稳定性分析.
主要成果:
- 控制器成功地适应了视觉配置 (EIH,ETH),特征点姿势和相机姿势参数的变化.
- 封闭循环系统的全球有限时间稳定性已被证明.
- 在平衡点附近改善的收率和良好的动态稳定性被证明.
结论:
- 拟议的有限时间自适应控制器有效地处理IBUVS系统中的不确定性.
- 控制器确保了有限时间的轨迹跟踪,并表现出强大的稳定性.
- 实验验证证证实了控制器的适应性和性能改进.
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