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.

该创新伙伴关系（中期职业发展）（PFI（MCA））项目的更广泛影响/商业潜力是提供一种具有成本效益的智能解决方案，以准确检测无人机（UAV）的工程故障和故障并从中恢复。它将通过开发故障识别和故障纠正模块填补无人机行业的技术空白，为潜在的商业化提供经济价值。下一代无人机将受益于这项工作，为电力推进系统提供智能故障检测和校正技术。 即使出现故障，此类无人机也能够成功执行任务。如果没有适当的故障识别和纠正能力，电池、动力部件和推进电机的功能突然下降，不仅会降低系统的性能，还会导致严重的系统故障，从而可能导致撞车。该项目将大大提高无人机的可靠性，同时最大限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化运输系统的故障恢复电力推进系统开辟新的途径。拟议的项目旨在研究准确的故障检测方法和协同故障缓解技术，这些技术通常不容易在高动态负载和具有挑战性的操作条件下实现。拟议研究的成果将大大推进故障识别/补偿领域的知识，并为下一代故障恢复和可靠的无人机提供基础，这可能会产生重大的社会影响，并具有商业化的潜力。研究成果将使无人机能够更及时、更广泛地使用，特别是在应对自然灾害、流行病和战争时。拟议的项目将为多学科工程领域的学生提供实践研究经验。研究活动将通过将项目成果纳入工程课程与教育相结合。实验平台的开发和创业团队的培训将培养下一代研究人员，工程师和企业家。该项目的成果将通过期刊出版物、会议报告和各种外展计划传播，特别关注贫困学生群体。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。