机器人自适应速度控制与水产养殖网栏检查实验结果

S. J. Ohrem, L. D. Evjemo, B. A. Haugaløkken, H. B. Amundsen, E. Kelasidi
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引用次数: 0

摘要

远程操作车辆(rov)经常用于水产养殖网圈的检查,其重要目的是定位网洞并报告潜在的违规和损坏情况。人工控制网圈内的车辆,同时检查网的结构,是困难的,给车辆操作员带来很大的压力。适应新的解决方案,使车辆能够在相对于网保持固定距离、航向和速度的情况下自主穿越网圈,被认为是必不可少的。这种自动驾驶解决方案的主要挑战之一是对车辆速度的强大而严格的控制。针对这一挑战,本文针对未知参数和未知外部干扰影响下的遥控车辆的喘振和摇摆速度提出了自适应速度控制器。通过李雅普诺夫理论证明了控制器的稳定性,仿真和现场实验都证明了它们通过使用网络跟踪方案跟踪期望速度的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive speed control of ROVs with experimental results from an aquaculture net pen inspection operation
Remotely operated vehicles (ROVs) are often used for inspection in aquaculture net pens which serves the important purpose of localizing holes in the net and reporting potential irregularities and damages. Manual control of the vehicle inside a net pen, while simultaneously inspecting the net structure, is difficult and puts a lot of stress on the vehicle operators. Adaptation of new solutions that enables autonomous traversal of net pens where the vehicle maintains a fixed distance, heading, and velocity relative to the net is considered essential. One of the main challenges of such autonomous solutions is a robust and tight control of the vehicle’s velocities. To target this challenge, this paper presents adaptive speed controllers for the surge and sway speeds of a remotely operated vehicle with unknown parameters and under the influence of unknown external disturbances. The stability properties of the controllers are proven through Lyapunov theory, and both simulations and field experiments demonstrate their ability to track the desired speeds through the use of a net following scheme.
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