PhD Proposal by Andrew Kendall

*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************

Event Details
  • Date/Time:
    • Friday December 17, 2021
      12:00 pm - 2:00 pm
  • Location: Montgomery Knight Building 317
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact
No contact information submitted.
Summaries

Summary Sentence: A Methodology for the Design and Operational Safety Assessment of Unmanned Aerial Systems

Full Summary: No summary paragraph submitted.

Andrew Kendall

(Advisor: Prof. John-Paul Clarke)

will propose a doctoral thesis entitled,

A Methodology for the Design and Operational Safety Assessment of Unmanned Aerial Systems

On

Friday, December 17 at 12:00 p.m.
Montgomery Knight Building 317

Abstract
Efforts are underway to introduce Unmanned Aerial Systems (UAS) into routine cargo operations within the National Airspace System (NAS). Such systems have the potential to increase transport system flexibility by mitigating crew scheduling constraints and extending operations to remote locations. It is expected that any large UAS operating in the transport category must comply with Federal Aviation Regulations to achieve airworthiness certification for routine operations within the NAS. Regulations on the safety of equipment, systems, and installations require all failure conditions due to malfunctions, environmental events, and inadequate corrective action to be mitigated and shown to be extremely improbable.

These system safety requirements are particularly relevant for a UAS as the ability of a Remote Pilot (RP) to detect and respond to risks is dependent on a Command and Control (C2) link. The C2 downlink system, Ground Control Station instruments and controls, and C2 uplink system all introduce new failure conditions that may degrade the safety of the UAS. Onboard autonomy introduced to supplement the RP by monitoring for risks, making decisions, or executing corrective action is also subject to the same safety requirements. Many methodologies have been used for analyzing risks and implementing sufficient levels of protection in the design of complex safety critical systems, but a method for assessing the performance required from autonomy when the RP cannot adequately mitigate risks is still needed.

This thesis attempts to address the problem of placing safety requirements on C2 links and autonomy in UAS through the development of a safety assessment methodology that can be applied during both design and online operation. The contributions are as follows:

  • Safety Regulations are formulated as a chance-constraint satisfaction problem. Due to the extremely strict safety constraints on the order of 1 failure per billion operations, rare event estimation using the Cross-Entropy method is proposed to validate safety requirements subject to various sources of uncertainty.
  • Failure conditions can be due to both discrete events, such as system failures, and continuous state uncertainties, such as navigation errors and gust disturbances. A stochastic hybrid system model is proposed to handle the coupling between discrete and continuous states and estimate the distribution of state trajectories that may result from a given set of system parameters, operational conditions, and autonomous decision parameters.
  • The final approach and landing phase of flight serves as a use case for the methodology. The tradeoff between system parameters required for safety in a given range of operational conditions will be evaluated. The safety assessment methodology will be extended to online operation, in which observations gathered during operations are used to safely update autonomous decision parameters and extend the range of operational conditions under which the UAS meets safety requirements.

 

Committee

  • Prof. John-Paul Clarke – School of Aerospace Engineering (advisor)
  • Prof. Brian J German – School of Aerospace Engineering
  • Prof. David Goldsman – School of Industrial and System Engineering
  • Dr. Husni Idris – NASA Ames Research Center

Additional Information

In Campus Calendar
No
Groups

Graduate Studies

Invited Audience
Faculty/Staff, Public, Undergraduate students
Categories
Other/Miscellaneous
Keywords
Phd proposal
Status
  • Created By: Tatianna Richardson
  • Workflow Status: Published
  • Created On: Dec 16, 2021 - 12:43pm
  • Last Updated: Dec 16, 2021 - 12:43pm