Novel Variable Input Observer for High-Rate State Estimation
Abstract
The development of microsecond structural health monitoring (?SHM) methods on the timescales of 10 ?sec - 10 msec will allow for monitoring the structural integrity of a system on timescales where speed of damage detection is critical (e.g., next generation hypervelocity air vehicles, weapons, space structures). State estimation enabling ?SHM is usually conducted through observers, which are models built to estimate an output based on inputs. The type and number of inputs fed in models are typically fixed and rarely optimal, resulting in sub-optimal observermodels. In this research, we propose to utilize a variable input space to accelerate convergence of adaptive observers, therefore enabling high-rate state estimation. The main innovative attribute of this new observer, here termed Variable Input Observer (VIO), is its adaptive capabilities based on real-time identification of the system s essential dynamics through measurements of the system s response. Never has the idea of variable input space for observers has been studied before.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 06, 2017
- Source ID
- FA95501710131
Entities
People
- Simon Laflamme
Organizations
- Air Force Office of Scientific Research
- Iowa State University
- United States Air Force