CSL Decision and Control Group

Back to Listing

DCL Lecture Series: Dr. Enric Xargay - “Loss-of-Control Prediction and Prevention”

Event Type
Seminar/Symposium
Sponsor
Decision and Control Laboratory, Coordinated Science Laboratory
Location
CSL Auditorium (B02)
Date
Feb 12, 2014   3:00 - 4:00 pm  
Speaker
Dr. Enric Xargay, Postdoctoral Research Associate, University of Illinois
Contact
Angie Ellis
E-Mail
amellis@illinois.edu
Phone
217/30-1910
Views
116

Title: “Loss-of-Control Prediction and Prevention”

Abstract: In-flight loss of control remains a major cause of fatal accidents across all aircraft classes and operational categories, and can result from a wide range of contributing factors, including adverse conditions occurring onboard the vehicle, external hazards, and aircraft upsets. To arrest the development of LoC sequences, our group is working in collaboration with NASA LaRC on the design of an integrated systems framework that combines resilient flight control laws, flight envelope protection schemes, fault detection and isolation modules, and interfaces for improved crew situation awareness. The talk will present our recent developments and findings in this area along with a set of piloted simulation evaluations that illustrate the benefits of the developed flight control systems.

Bio:Enric Xargay received an M.S. in Control Engineering from the Technical University of Catalonia and an M.S. in Aerospace Engineering from the Politecnico di Torino, both in 2007. He earned his Ph.D. in Aerospace Engineering from the University of Illinois at Urbana-Champaign (UIUC) in 2013. Since 2013 he has been with the Department of Mechanical Science and Engineering of UIUC, where he is currently a postdoctoral research associate. In 2011, he received the Roger A. Strehlow Memorial Award from the Department of Aerospace Engineering at UIUC for outstanding research accomplishment. His research interests include aircraft flight control, nonlinear systems, adaptive control, robust control, and cooperative motion planning and control of autonomous systems.

link for robots only