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Presentation
Variable input observer for state estimation of high-rate dynamics
Proceedings of SPIE
  • Jonathan Hong, Iowa State University
  • Liang Cao, Iowa State University
  • Simon Laflamme, Iowa State University
  • Jacob Dodson, Air Force Research Laboratory
Document Type
Conference Proceeding
Conference
SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring
Publication Version
Published Version
Publication Date
4-12-2017
DOI
10.1117/12.2261597
Conference Title
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems
Conference Date
March 25-29, 2017
Geolocation
(45.5230622, -122.67648150000002)
Abstract
High-rate systems operating in the 10 μs to 10 ms timescale are likely to experience damaging effects due to rapid environmental changes (e.g., turbulence, ballistic impact). Some of these systems could benefit from real-time state estimation to enable their full potential. Examples of such systems include blast mitigation strategies, automotive airbag technologies, and hypersonic vehicles. Particular challenges in high-rate state estimation include: 1) complex time varying nonlinearities of system (e.g. noise, uncertainty, and disturbance); 2) rapid environmental changes; 3) requirement of high convergence rate. Here, we propose using a Variable Input Observer (VIO) concept to vary the input space as the event unfolds. When systems experience high-rate dynamics, rapid changes in the system occur. To investigate the VIO’s potential, a VIO-based neuro-observer is constructed and studied using experimental data collected from a laboratory impact test. Results demonstrate that the input space is unique to different impact conditions, and that adjusting the input space throughout the dynamic event produces better estimations than using a traditional fixed input space strategy.
Comments

This proceeding is published as Jonathan Hong, Liang Cao, Simon Laflamme, Jacob Dodson, "Variable input observer for state estimation of high-rate dynamics", Proc. SPIE 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017, 101680S (12 April 2017); doi: 10.1117/12.2261597. Posted with permission.

Copyright Owner
Society of Photo-Optical Instrumentation Engineers (SPIE)
Language
en
File Format
application/pdf
Citation Information
Jonathan Hong, Liang Cao, Simon Laflamme and Jacob Dodson. "Variable input observer for state estimation of high-rate dynamics" Portland, ORProceedings of SPIE Vol. 10168 Iss. 101680S (2017) p. 101680S-1 - 101680S-8
Available at: http://0-works.bepress.com.library.simmons.edu/simon_laflamme/65/