Identification methods for dynamic model of measurement systems

Author

Huang, Jun-Qin ; Xiao, Xiao-Mao

Author_Institution

Dept. of Autom. Control, Beijing Univ. of Aeronaut. & Astronaut., China

fYear

1992

fDate

12-14 May 1992

Firstpage

703

Lastpage

708

Abstract

Three kinds of identification methods for dynamic mathematical models of transducers and measurement systems are established: identification in the time domain, which is convenient for dynamic calibration in the time domain; identification in the frequency domain, which is used for dynamic calibration in the frequency domain; and a correlation least-squares method for identification of a closed-loop measurement system. A dynamic mathematical model that quantitatively describes the dynamic performance of a transducer used in a control system is given. A parametric model (transfer function and difference equation) is found useful in the case of dynamic compensation for improving system dynamic performance

Keywords

calibration; closed loop systems; difference equations; identification; least squares approximations; measurement systems; measurement theory; transducers; transfer functions; closed-loop measurement system; correlation least-squares method; difference equation; dynamic calibration; dynamic compensation; dynamic model; dynamic performance; frequency domain; identification; mathematical models; measurement systems; parametric model; time domain; transducers; transfer function; Calibration; Control system synthesis; Difference equations; Frequency domain analysis; Frequency measurement; Mathematical model; Parametric statistics; Time measurement; Transducers; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1992. IMTC '92., 9th IEEE

Conference_Location

Metropolitan, NY

Print_ISBN

0-7803-0640-6

Type

conf

DOI

10.1109/IMTC.1992.245049

Filename

245049