Filtered Sequential Regression Parameter Identification Applied to a Gas Turbine Engine Model

[+] Author and Article Information
D. E. Warner, E. Dawson Ward

Automatic Control Center, School of Mechanical Engineering, Purdue University, West Lafayette, Ind.

J. Dyn. Sys., Meas., Control 99(4), 253-258 (Dec 01, 1977) (6 pages) doi:10.1115/1.3427116 History: Received September 26, 1977; Online July 13, 2010


In this paper a filtered sequential regression parameter identification technique is developed which is feasible for on-board digital computer implementation on gas turbine engines. When applied to a test second order system, this filtered sequential technique is superior to a nonfiltered sequential technique for noisy data. The practicality of the technique is demonstrated by application to data generated from a twinspool gas turbine engine model. A simplified linear set point model was identified using the two spool speeds as state variables. The model obtained with this filtered sequential regression technique matched the system state response to within 2 percent accuracy.

Copyright © 1977 by ASME
Your Session has timed out. Please sign back in to continue.





Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In