Estimation and error analysis for optomechanical inertial sensors

Research output: Contribution to journalArticlepeer-review

Abstract

A sensor model and methodology to estimate the forcing accelerations measured using a novel optomechanical inertial sensor with the inclusion of stochastic bias and measurement noise processes is presented. A Kalman filter for the estimation of instantaneous sensor bias is developed; the outputs from this calibration step are then employed in two different approaches for the estimation of external accelerations applied to the sensor. The performance of the system is demonstrated using simulated measurements and representative values corresponding to a bench-tested 3.76 Hz oscillator. It is shown that the developed methods produce accurate estimates of the bias over a short calibration step. This information enables precise estimates of acceleration over an extended operation period. These results establish the feasibility of reliably precise acceleration estimates using the presented methods in conjunction with state of the art optomechanical sensing technology.

Original languageEnglish (US)
Article number6101
JournalSensors
Volume21
Issue number18
DOIs
StatePublished - Sep 2021
Externally publishedYes

Keywords

  • Accelerometer
  • Error analysis
  • Estimation
  • Optomechanical sensors
  • Sensor design

ASJC Scopus subject areas

  • Analytical Chemistry
  • Information Systems
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

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