PFI (MCA): Smart Monitoring and Fault Identification for Resilient and Reliable Unmanned Aerial Vehicles

PFI (MCA)：弹性可靠的无人机的智能监控和故障识别

• 批准号: 2321681
• 负责人: Taehyung Kim
• 金额: $ 35万
• 依托单位: Regents of the University of Michigan - Dearborn
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-11-01 至 2026-10-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2321681&HistoricalAwards=false
• 关键词: PFI; MCA; Smart; Monitoring; Fault

The broader impact/commercial potential of this Partnerships for Innovation (Mid Career Advancement) (PFI (MCA)) project is to provide a cost-effective and intelligent solution to accurately detect and recover from engineering faults and failures in unmanned aerial vehicles (UAVs). It will fill a technology gap in the UAV industry by developing modules for fault identification and failure correction that will offer economic value for potential commercialization. The next-generation UAVs will benefit from this work with intelligent fault detection and correction techniques for electric propulsion systems. Such UAVs will be able to successfully execute their missions even with faults. Without proper fault identification and correction capabilities, a sudden drop in the functions of battery, power components, and propulsion motor not only decreases the system’s performance but also leads to critical system failure, which may cause a crash. The project will substantially improve the reliability of UAVs while minimizing additional hardware costs. The project concepts and technologies will open new avenues for fault-resilient electric propulsion system for UAVs and other electrified transportation systems.The proposed project aims to investigate accurate fault detection methods and collaborative fault mitigation techniques, which are typically not easy to achieve for applications with highly dynamic loads and challenging operating conditions. The outcomes of the proposed research will significantly advance knowledge in the field of fault identification/compensation and provide a foundation for next-generation fault-resilient and reliable UAVs, which can have a significant societal impact with the potential for commercialization. The research outcomes will enable more timely and wider usage of UAVs, especially in response to natural disasters, pandemics, and war. The proposed project will offer hands-on research experiences to students in multidisciplinary engineering areas. The research activities will be integrated with education through the incorporation of the project outcomes into engineering courses. The development of an experimental platform and entrepreneurial team training will foster the next generation of researchers, engineers, and entrepreneurs. The outcomes of the project will be disseminated through journal publications, conference presentations, and various outreach programs, focusing especially on underprivileged student groups.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这种伙伴关系对创新的更广泛的影响/商业潜力（职业发展进步）（PFI（MCA））项目是提供一种具有成本效益且聪明的解决方案，以准确检测和从无人驾驶汽车（无人机）中的工程缺陷和失败中恢复。它将通过开发用于故障识别和故障校正的模块来填补无人机行业的技术空白，这将为潜在的商业化提供经济价值。下一代无人机将从这项工作中受益于电动推进系统的智能故障检测和校正技术。这样的无人机即使有缺陷，也将能够成功执行其任务。没有适当的故障识别和校正功能，电池功能，电源组件和推进电动机的功能突然下降不仅会降低系统的性能，而且会导致严重的系统故障，这可能会导致崩溃。该项目将大大提高无人机的可靠性，同时最大程度地减少额外的硬件成本。该项目的概念和技术将为无人机和其他电气运输系统的故障弹性电推进系统开放新的途径。拟议的项目旨在调查准确的故障检测方法和协作过失缓解技术，通常对于高度动态载荷和挑战操作条件而言，通常不容易实现这些方法。拟议研究的结果将大大提高故障识别/补偿领域的知识，并为下一代故障弹性且可靠的无人机提供基础，这可以产生重大的社会影响，并具有商业化的潜力。研究结果将使无人机的更及时和更广泛地使用，尤其是在回应自然灾害，大流行和战争方面。拟议的项目将为多学科工程领域的学生提供动手研究经验。研究活动将通过项目成果的基础设施与工程课程相结合。实验平台和企业家团队培训的发展将培养下一代研究人员，工程师和企业家。该项目的结果将通过期刊出版物，会议演讲和各种外展计划进行传播，尤其重点关注弱势学生群体。该奖项反映了NSF的法定任务，并通过基金会的知识分子的优点和更广泛的影响标准通过评估来诚实地支持。