Seminar: Analytical Versus Hardware Redundancy: A Case Study of Synthetic Air Data Estimation - Jan. 31
Demoz Gebre-Egziabher
Professor, Aerospace Engineering and Mechanics, University of Minnesota, Twin Cities
Friday, Jan. 31 | 10:40 a.m. | AERO 114
Abstract: Safety-critical aerospace guidance, navigation, and control (GNC) systems typically rely on physical redundancy to ensure reliability. However, in emerging applications where size, weight, and power constraints limit the feasibility of hardware redundancy, alternatives are needed. This presentation explores the concept of analytical redundancy, where mathematical models are used as virtual sensors in lieu of physically redundant sensors. Using synthetic air data estimation as a case study, we will explore the issues and challenges surrounding analytical redundancy and demonstrate the effectiveness of this approach. As a concrete example, we will show results from using a synthetic air data system as a backup for a pitot-static system on an unmanned aerial vehicle used in precision agriculture. In closing, we discuss open research questions that need to be addressed to advance acceptance of the concept of analytical redundancy.
Bio: Demoz Gebre-Egziabher is a professor in the Department of Aerospace Engineering and Mechanics at the University of Minnesota, Twin Cities. At the University of Minnesota, he teaches courses in aerospace systems and directs a research lab focusing on the design of multi-sensor navigation and attitude determination systems for aerospace vehicles. ÌýHe is the current director of the NASA/Minnesota Space Grant Consortium. He is a Fellow of the Institute of Navigation (ION) and an associate fellow of the American Institute of Aeronautics and Astronautics (AIAA). ÌýFrom 1990 to 1996 he was systems engineer at NAVSEA in Washington, D.C. Ìý
Dr. Gebre-Egziabher holds a B.S in Aerospace Engineering from the University of Arizona, a M.S in Mechanical Engineering from the George Washington University and a Ph.D. in aeronautics and astronautics from Stanford University. ÌýHe is a registered professional engineer (mechanical engineering).