非线性机械系统的协同无源控制

IF 2.9 Q2 ROBOTICS
Robotics Pub Date : 2023-10-09 DOI:10.3390/robotics12050142
Oscar de Groot, Laurens Valk, Tamas Keviczky
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引用次数: 0

摘要

在这项工作中,我们提出了两种基于协作无源的机械系统网络控制方法。通过协作同步各个agent的末端执行器坐标,实现不同类型系统之间的协作。我们的控制方法的潜在被动特性确保了合作的稳定性和鲁棒性。这两种方法都不依赖于邻居的局部建模信息,这简化了适用系统的互连,并使方法在使用中具有模块化。我们的第一种方法是针对完全驱动和欠驱动系统网络的广义合作互联和阻尼分配无源控制(IDA-PBC)方案。我们的方法利用现有的欠驱动系统单智能体IDA-PBC解决方案中末端执行器坐标的定义来满足匹配条件,独立于合作控制输入。因此,我们的方法集成了大量现有的单代理解决方案,并促进了这些系统和完全驱动系统之间的协作控制。我们的第二种方法提出了由其末端执行器坐标和速度组成的智能体输出,以保证存在通信延迟的全驱动系统网络的合作稳定性。我们通过仿真和实验验证了这两种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative Passivity-Based Control of Nonlinear Mechanical Systems
In this work, we propose two cooperative passivity-based control methods for networks of mechanical systems. By cooperatively synchronizing the end-effector coordinates of the individual agents, we achieve cooperation between systems of different types. The underlying passivity property of our control approaches ensures that cooperation is stable and robust. Neither of the two approaches rely on the modeling information of neighbors, locally, which simplifies the interconnection of applicable systems and makes the approaches modular in their use. Our first approach is a generalized cooperative Interconnection-and-Damping Assignment passivity-based control (IDA-PBC) scheme for networks of fully actuated and underactuated systems. Our approach leverages the definition of end-effector coordinates in existing single-agent IDA-PBC solutions for underactuated systems to satisfy the matching conditions, independently of the cooperative control input. Accordingly, our approach integrates a large set of existing single-agent solutions and facilitates cooperative control between these and fully actuated systems. Our second approach proposes agent outputs composed of their end-effector coordinates and velocities to guarantee cooperative stability for networks of fully actuated systems in the presence of communication delays. We validate both approaches in simulation and experiments.
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来源期刊
Robotics
Robotics Mathematics-Control and Optimization
CiteScore
6.70
自引率
8.10%
发文量
114
审稿时长
11 weeks
期刊介绍: Robotics publishes original papers, technical reports, case studies, review papers and tutorials in all the aspects of robotics. Special Issues devoted to important topics in advanced robotics will be published from time to time. It particularly welcomes those emerging methodologies and techniques which bridge theoretical studies and applications and have significant potential for real-world applications. It provides a forum for information exchange between professionals, academicians and engineers who are working in the area of robotics, helping them to disseminate research findings and to learn from each other’s work. Suitable topics include, but are not limited to: -intelligent robotics, mechatronics, and biomimetics -novel and biologically-inspired robotics -modelling, identification and control of robotic systems -biomedical, rehabilitation and surgical robotics -exoskeletons, prosthetics and artificial organs -AI, neural networks and fuzzy logic in robotics -multimodality human-machine interaction -wireless sensor networks for robot navigation -multi-sensor data fusion and SLAM
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