Impedance control based on error feedback for the manipulator of an underwater vehicle-manipulator system

IF 0.8 Q4 ROBOTICS Artificial Life and Robotics Pub Date : 2023-09-21 DOI:10.1007/s10015-023-00896-6
Yuichiro Taira, Shinichi Sagara, Masahiro Oya
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Abstract

This paper deals with the design of a motion and force control scheme for underwater vehicles, each of which has a manipulator. For a subsea operation that requires a contact between the manipulator’s tip (e.g., the hand) and various types of environments, it is desirable that the mechanical impedance of the manipulator is adjusted according to the contact surface. From this point of view, the paper focuses on the design of an impedance control scheme. Several impedance controllers have been developed. Most of them were designed on the assumption that the control capability of the vehicle is the same as that of the manipulator. However, it has been pointed out in the literature that for a real underwater robot, its vehicle control is more challenging than its manipulator control, because the vehicle has much larger inertia, and many more inaccurate position sensors and actuators than the manipulator. In view of this fact, we develop an impedance control scheme for the manipulator under the condition that the vehicle is independently controlled by a motion controller with poor performance. Moreover, we provide the results of simulations for comparing an existing controller with the proposed one.

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基于误差反馈的水下机器人机械手阻抗控制
本文设计了一种水下航行器的运动和力控制方案,每种航行器都有一个机械手。对于需要操作器的尖端(例如手)与各种类型的环境之间接触的海底操作,期望根据接触表面来调节操作器的机械阻抗。从这个角度出发,本文重点设计了一种阻抗控制方案。已经开发了几种阻抗控制器。它们大多是在假设车辆的控制能力与机械手的控制能力相同的情况下设计的。然而,文献中指出,对于真正的水下机器人来说,其载具控制比机械手控制更具挑战性,因为载具的惯性要大得多,位置传感器和执行器也比机械手更不准确。鉴于这一事实,我们开发了一种在车辆由性能较差的运动控制器独立控制的情况下的机械手阻抗控制方案。此外,我们还提供了将现有控制器与所提出的控制器进行比较的仿真结果。
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来源期刊
CiteScore
2.00
自引率
22.20%
发文量
101
期刊介绍: Artificial Life and Robotics is an international journal publishing original technical papers and authoritative state-of-the-art reviews on the development of new technologies concerning artificial life and robotics, especially computer-based simulation and hardware for the twenty-first century. This journal covers a broad multidisciplinary field, including areas such as artificial brain research, artificial intelligence, artificial life, artificial living, artificial mind research, brain science, chaos, cognitive science, complexity, computer graphics, evolutionary computations, fuzzy control, genetic algorithms, innovative computations, intelligent control and modelling, micromachines, micro-robot world cup soccer tournament, mobile vehicles, neural networks, neurocomputers, neurocomputing technologies and applications, robotics, robus virtual engineering, and virtual reality. Hardware-oriented submissions are particularly welcome. Publishing body: International Symposium on Artificial Life and RoboticsEditor-in-Chiei: Hiroshi Tanaka Hatanaka R Apartment 101, Hatanaka 8-7A, Ooaza-Hatanaka, Oita city, Oita, Japan 870-0856 ©International Symposium on Artificial Life and Robotics
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