Advanced Modeling and System Parameter Identification through Minimal Dynamic Stimulation and Digital Signal Processing

Abstract

This paper describes the Hebert-Mackin Parameter Identification Method (HMPIM). This methodology is applicable to testing both hardware and software and enables identification of system or algorithm performance modeling parameters through minimal dynamic stimulation of the hardware or software. Exposing hardware to extensive operation and testing to determine salient system or component level modeling parameters is both costly, time consuming, and potentially risky. Classical test waveforms such as steps, ramps, or sinusoids expose the asset being tested to continuous probing and shaking and each test by itself does not drive out the entire set of essential modeling parameters. The HMPIM, utilizing persistent spectral excitation and data processing, allows the analyst or modeler to determine all the essential system performance and modeling parameters with a single 5 or 10 second excitation of the hardware or software algorithm.

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Document Details

Document Type
Technical Report
Publication Date
Aug 13, 2014
Accession Number
ADA609130

Entities

People

  • Anthony J. Hebert
  • Paul R. Mackin

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Cross Correlation
  • Data Processing
  • Digital Signal Processing
  • Dynamic Response
  • Frequency
  • Frequency Domain
  • Frequency Response
  • Identification
  • Information Science
  • Military Research
  • Operating Systems
  • Resonant Frequency
  • Signal Processing
  • Simulators

Fields of Study

  • Engineering

Readers

  • Control Systems Engineering.
  • Software Engineering.
  • Systems Analysis and Design