Integrated Sensing: Biomimetic Sensors for Autonomous Underwater Vehicles

集成传感：用于自主水下航行器的仿生传感器

• 批准号: 0225519
• 负责人: Chang Liu
• 金额: $ 15.01万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-10-01 至 2005-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0225519&HistoricalAwards=false
• 关键词: Integrated; Sensing; Biomimetic; Sensors; Autonomous

Water covers approximately 70% of the earth surface. However, this majority of the planet is under-explored and poorly understood. This is largely a result of the significant challenge posed by the underwater environment, with its high pressure, unpredictable currents, nearly freezing temperatures, attenuation of electromagnetic waves and light, and harsh chemical compositions. A variety of scientific, military and industrial tasks call for tools that function in the ocean environment. Autonomous Underwater Vehicles (AUVs) are important platforms for carrying out sophisticated underwater tasks. Currently some tasks are not suitable for AUVs due to technical limitations. More advanced applications demand small, integrated, power efficient and potentially networked AUVs to increase the effectiveness and reduce the costs. A key step in moving toward this vision is improved sensors for AUVs. This project aims to develop integrated underwater sensors inspired by the fish lateral line system. Prototypes of sensors will be built and used to investigate the fluid mechanical behavior of such sensors through computational and experimental means. The potential applications include the detection of hydrodynamic wakes, tracing of chemical plumes, and determination of hydrodynamic properties at the interface of fluid and structures. The proposed effort will focus on one problem - that of detection of hydrodynamic wakes.Planned research activities consists of three integral components: (1) The development and improvement of biomimetic integrated microsensors; (2) The validation and prediction of sensor performance using full scale direct numerical simulation and reduced-model simulation; (3) The experimental validation of sensor performance and computational results.

水覆盖了大约70％的地球表面。 但是，这个地球的大多数人都没有探索和了解不足。 这在很大程度上是由于水下环境带来的重大挑战，其高压，不可预测的电流，几乎冻结的温度，电磁波和光的衰减以及刺激性的化学成分。 各种科学，军事和工业任务要求在海洋环境中起作用的工具。 自动水下车辆（AUV）是执行复杂水下任务的重要平台。 目前，由于技术限制，某些任务不适合AUV。 更高级的应用程序需要小规模，集成，电力效率和潜在网络的AUV，以提高效力并降低成本。 朝向这一愿景的关键步骤是改善了AUV的传感器。 该项目旨在开发受鱼侧线系统启发的集成水下传感器。 传感器的原型将被构建，并用于通过计算和实验手段来研究此类传感器的流体机械行为。 潜在的应用包括检测流体动力唤醒，化学羽流的追踪以及在流体和结构界面上测定流体动力学特性。 拟议的努力将集中在一个问题上 - 检测流体动力唤醒的问题。计划的研究活动由三个积分组成部分组成：（1）仿生综合微传感器的发展和改进； （2）使用完整的直接数值模拟和减少模拟模拟的传感器性能的验证和预测； （3）传感器性能和计算结果的实验​​验证。