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arXiv 1906.09563cs.RO
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水下机器人多机械手协同操作的分布式预测控制方法

A Distributed Predictive Control Approach for Cooperative Manipulation of Multiple Underwater Vehicle Manipulator Systems

National Technical University of Athens(雅典国立技术大学)

Shahab Heshmati-Alamdari, George C. Karras, Kostas J. Kyriakopoulos

摘要:

研究了多水下机器人机械臂系统在受限工作空间中的物体协同搬运问题。我们提出了一个非线性模型预测控制(NMPC)的方法,以运输的对象,同时避免显着的约束和限制,如:运动学和表示奇异性,工作空间内的障碍,关节限制和控制输入饱和。更准确地说,通过利用机器人和对象之间的耦合动力学,并使用一定的负载分担系数,我们设计了一个分布式NMPC为每个UVMS,以合作运输的工作空间的可行区域内的对象。此外,该控制方案采用UVMS之间的负载分担,根据其特定的有效载荷能力。此外,反馈依赖于每个UVMS的本地测量,并且机器人之间没有在线交换显式数据,从而减少了所需的通信带宽。最后,在ROS环境下的UwSim动态仿真器上进行了实时仿真,验证了理论研究的有效性。

英文摘要:

This paper addresses the problem of cooperative object transportation for multiple Underwater Vehicle Manipulator Systems (UVMSs) in a constrained workspace involving static obstacles. We propose a Nonlinear Model Predictive Control (NMPC) approach for a team of UVMSs in order to transport an object while avoiding significant constraints and limitations such as: kinematic and representation singularities, obstacles within the workspace, joint limits and control input saturations. More precisely, by exploiting the coupled dynamics between the robots and the object, and using certain load sharing coefficients, we design a distributed NMPC for each UVMS in order to cooperatively transport the object within the workspace's feasible region. Moreover, the control scheme adopts load sharing among the UVMSs according to their specific payload capabilities. Additionally, the feedback relies on each UVMS's locally measurements and no explicit data is exchanged online among the robots, thus reducing the required communication bandwidth. Finally, real-time simulation results conducted in UwSim dynamic simulator running in ROS environment verify the efficiency of the theoretical finding.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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