Izadbakhsh Alireza, Nikdel Nazila, Deylami Ali
Department of Electrical Engineering, Garmsar branch, Islamic Azad University, Garmsar, Iran.
Faculty of Electrical and Computer Engineering, Urmia University, Urmia, Iran.
ISA Trans. 2022 Sep;128(Pt B):68-80. doi: 10.1016/j.isatra.2021.11.010. Epub 2021 Nov 23.
The problem of transporting a rigid object by a team of robotic arms is studied in this article. The study aims to enable manipulators to move the object in the desired and predefined direction efficiently. It is also desired to keep the force applied to the object limited to avoid distortion of its shape. Since practical systems usually confront limitations such as lack of complete system model information and disturbances, the presented approach should confront the effects of such phenomena on the performance. To fulfill the purpose, based on the universal approximation property, a powerful approximator for estimating uncertainties and disturbances based on differential equations is presented. Then a robust approximator-controller structure is designed to solve the multi-objective issue of position, orientation, and force control in the cooperating robotic system. To confirm a stable object grasp, and transportation, Lyapunov analysis is utilized and based on a thorough mathematical analysis, it is shown that the presented approximator-controller structure assures system stability. Finally, the proposed scheme is applied to two three-degree-of-freedom (3-DOF) robot arms that cooperatively handle a common and rigid object. Various tests are performed assuming the unavailability of system model information and in the existence of perturbations, and the results are analyzed.
本文研究了由一组机器人手臂运输刚性物体的问题。该研究旨在使操纵器能够有效地将物体沿期望的预定义方向移动。还希望将施加在物体上的力限制在一定范围内,以避免其形状变形。由于实际系统通常面临诸如缺乏完整系统模型信息和干扰等限制,所提出的方法应应对此类现象对性能的影响。为实现该目的,基于通用逼近特性,提出了一种基于微分方程估计不确定性和干扰的强大逼近器。然后设计了一种鲁棒逼近器 - 控制器结构,以解决协作机器人系统中的位置、方向和力控制的多目标问题。为确保物体的稳定抓取和运输,利用李雅普诺夫分析,并基于全面的数学分析表明,所提出的逼近器 - 控制器结构可确保系统稳定性。最后,将所提出的方案应用于两个协同处理一个普通刚性物体的三自由度(3 - DOF)机器人手臂。在假设系统模型信息不可用且存在扰动的情况下进行了各种测试,并对结果进行了分析。