Algorithm for closed loop system identification based on data correlation

H. Jammoussi, M. A. Franchek, K. Grigoriadis, M. Books

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

A closed loop system identification method is developed in which estimation bias from sensor noise and external disturbances is minimized. The method, based on the instrumental variables four step algorithm (IV4), uses three steps. The first step estimates a model using cross covariance calculations between the reference input signal and the control and measured output signals. The second step employs the prefilter identification process from the IV4 process. The third and final step uses the prefilter, the instrumental variables and the reference, control and output signals to estimate the final model. The method is demonstrated on a diesel engine where an open loop model relating fueling to engine speed is sought. The identification example is complicated by the presence of nonmeasurable external torque disturbances due to vehicle accessories.

Original languageEnglish (US)
Title of host publication2008 Proceedings of the ASME Dynamic Systems and Control Conference, DSCC 2008
Pages379-384
Number of pages6
EditionPART A
StatePublished - Oct 19 2009
Event2008 ASME Dynamic Systems and Control Conference, DSCC 2008 - Ann Arbor, MI, United States
Duration: Oct 20 2008Oct 22 2008

Other

Other2008 ASME Dynamic Systems and Control Conference, DSCC 2008
CountryUnited States
CityAnn Arbor, MI
Period10/20/0810/22/08

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering

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