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A comparison study of biologically inspired propulsion systems for an autonomous underwater vehicle

机译:用于自主水下航行器的生物启发推进系统的比较研究

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摘要

The field of Autonomous Underwater Vehicles (AUVs) has increased dramatically in size and scope over the past two decades. Application areas for AUVs are numerous and varied; from deep sea exploration, to pipeline surveillance to mine clearing. However, one limiting factor with the current technology is the duration of missions that can be undertaken and one contributing factor to this is the efficiency of the propulsion system, which is usually based on marine propellers. As fish are highly efficient swimmers greater propulsive efficiency may be possible by mimicking their fish tail propulsion system. The main concept behind this work was therefore to investigate whether a biomimetic fish-like propulsion system is a viable propulsion system for an underwater vehicle and to determine experimentally the efficiency benefits of using such a system. There have been numerous studies into biomimetic fish like propulsion systems and robotic fish in the past with many claims being made as to the benefits of a fish like propulsion system over conventional marine propulsion systems. These claims include increased efficiency and greater manoeuvrability. However, there is little published experimental data to characterise the propulsive efficiency of a fish like propulsive system. Also, very few direct experimental comparisons have been made between biomimetic and conventional propulsion systems. This work attempts to address these issues by directly comparing experimentally a biomimetic underwater propulsion system to a conventional propulsion system to allow for a better understanding of the potential benefits of the biomimetic system. This work is split into three parts. Firstly, the design and development of a novel prototype vehicle called the RoboSalmon is covered. This vehicle has a biomimetic tendon drive propulsion system which utilizes one servo motor for actuation and has a suite of onboard sensors and a data logger. The second part of this work focuses on the development of a mathematical model of the RoboSalmon vehicle to allow for a better understanding of the dynamics of the system. Simulation results from this model are compared to the experimental results and show good correlation. The final part of the work presents the experimental results obtained comparing the RoboSalmon prototype with the biomimetic tail system to the propeller and rudder system. These experiments include a study into the straight swimming performance, recoil motion, start up transients and power consumption. For forward swimming the maximum surge velocity of the RoboSalmon was 0.18ms-1 and at this velocity the biomimetic system was found to be more efficient than the propeller system. When manoeuvring the biomimetic system was found to have a significantly reduced turning radius. The thesis concludes with a discussion of the main findings from each aspect of the work, covering the benefits obtained from using the tendon drive system in terms of efficiencies and manoeuvring performance. The limitations of the system are also discussed and suggestions for further work are included.
机译:在过去的二十年中,自动驾驶水下航行器(AUV)领域的规模和范围已大大增加。 AUV的应用领域很多,种类繁多。从深海勘探到管道监控再到扫雷。但是,当前技术的一个限制因素是可以执行的任务的持续时间,而对此起作用的一个因素是推进系统的效率,该系统通常基于船用螺旋桨。由于鱼是高效的游泳者,因此,通过模仿鱼的鱼尾推进系统,可以提高推进效率。因此,这项工作背后的主要概念是研究仿鱼仿生推进系统对于水下航行器是否是可行的推进系统,并通过实验确定使用这种系统的效率效益。过去,已经对仿生鱼等推进系统和机器人鱼进行了许多研究,并提出了类似鱼的推进系统相对于常规海洋推进系统的益处的许多主张。这些主张包括提高效率和更大的机动性。然而,很少有公开的实验数据来描述像鱼一样的推进系统的推进效率。同样,在仿生系统和常规推进系统之间几乎没有直接的实验比较。这项工作试图通过直接在实验上将仿生水下推进系统与常规推进系统进行比较来解决这些问题,以便更好地了解仿生系统的潜在利益。这项工作分为三个部分。首先,介绍了新型机器人原型车RoboSalmon的设计和开发。该车辆具有仿生肌腱驱动推进系统,该系统利用一个伺服电动机进行致动,并具有一套车载传感器和数据记录器。这项工作的第二部分着重于开发RoboSalmon车辆的数学模型,以更好地了解系统的动力学特性。该模型的仿真结果与实验结果进行了比较,并显示出良好的相关性。工作的最后一部分介绍了将RoboSalmon原型与仿生机尾系统与螺旋桨和舵系统进行比较所获得的实验结果。这些实验包括对直泳性能,后坐运动,启动瞬态和功耗的研究。对于向前游泳,RoboSalmon的最大喘振速度为0.18ms-1,在此速度下,仿生系统比螺旋桨系统更有效。当操纵该仿生系统时,发现其转弯半径明显减小。本文以工作各方面的主要发现进行了讨论,涵盖了使用腱驱动系统在效率和操纵性能方面的收益。还讨论了系统的局限性,并包括了进一步工作的建议。

著录项

  • 作者

    Watts Christopher Mark;

  • 作者单位
  • 年度 2009
  • 总页数
  • 原文格式 PDF
  • 正文语种 English
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