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RESEARCH PAPERS

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

Abstract

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
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