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CPS: Medium: Collaborative Research: Virtual Sully: Autopilot with Multilevel Adaptation for Handling Large Uncertainties

CPS: Medium: Collaborative Research: Virtual Sully: Autopilot with Multilevel Adaptation for Handling Large Uncertainties
CPS:中:协作研究:Virtual Sully:具有多级适应能力的自动驾驶仪,可处理较大的不确定性
批准号:
1932529
负责人:
Lui Sha
金额:
$90.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-10-01 至 2023-09-30

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中文摘要
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英文摘要
During normal operations an aircraft is operated by its autopilot. When the autopilot sense a dangerous condition, near or outside of the flight envelope, the autopilot disengages itself, returning control to the pilot. Well-trained pilots typically can deal with modest out-of-envelope challenges. A pilot who can deal with a significantly compromised flight envelope is very remarkable as happened with Captain Chesley Sullenberger ("Sully") and co-pilot Jeffrey Skiles on US Airways Flight 1549 in 2009 when the aircraft struck a flock of geese just northeast of the George Washington Bridge and suddenly lost all engine power over Manhattan. The pilots glided their plane extraordinarily skillfully to a ditching in the Hudson River off Midtown Manhattan, saving all the passengers and averting a catastrophic crash in New York City. The National Transportation Safety Board official described it as the most successful ditching in aviation history. This capability to operate safely despite the exceptional situation well-outside the norm is the essence of this project, Virtual Sully.Virtual Sully technology is a development towards full pilotless autonomy, capable of identifying the failure/fault, estimating the remaining control authority, assessing the environment and planning a new feasible mission, doing path planning and executing it safely within the compromised flight envelope. This architecture replaces the traditional top-down one-way adaptation between mission planning, trajectory generation, tracking and stabilizing controller, with a two-way adaptation between mission planning, trajectory generation, and the adaptation of controller parameters to improve the stability and robustness of the control system. The following thrusts are considered: 1) monitoring and capability auditing; 2) high-assurance control with multi-level adaptation; 3) fault-tolerant architecture for unmanned autonomous systems (UAS) with real-time guarantees; 4) development of hardware-in-the loop simulation environment and flight tests using unmanned air vehicle (UAV) prototypes. Fault-tolerant computing infrastructure that can withstand high-stress situations will be integrated within flight control architecture that adapts at multiple levels. The feasibility evaluation of the missions and regenerated trajectories within UAV's remaining capabilities is pursued with real-time guarantees. The testbed is based on hardware-in-the-loop simulation for various failures, as well as extensive tests using real UAVs.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.
期刊论文(16)
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会议论文
Robust Vehicle Lane Keeping Control with Networked Proactive Adaptation
具有网络主动适应功能的强大车辆车道保持控制
DOI: 10.23919/acc50511.2021.9482669
发表时间: 2021
期刊: American Control Conference
影响因子: --
作者: [Kim, Hunmin, Wan, Wenbin, Hovakimyan, Naira, Sha, Lui, Voulgaris, Petros]
通讯作者: Voulgaris, Petros
DOI: --
发表时间: 2021
期刊: Proceedings of Machine Learning Research
影响因子: --
作者: [Gahlawat, A.]
通讯作者: Gahlawat, A.
DOI: --
发表时间: 2020
期刊: Machine learning research
影响因子: --
作者: [Gahlawat, A.]
通讯作者: Gahlawat, A.
DOI: 10.23919/acc55779.2023.10155837
发表时间: 2023-01
期刊: 2023 American Control Conference (ACC)
影响因子: --
作者: [Chuyuan Tao;Hunmin Kim;N. Hovakimyan]
通讯作者: Chuyuan Tao;Hunmin Kim;N. Hovakimyan
12
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    海外基金