Title :
Optimum sampling frequency choice for accurate identification of electrical systems
Author :
Bernieri, A. ; Betta, G. ; Pietrosanto, A.
Author_Institution :
Dept. of Ind. Eng., Cassino Univ., Italy
Abstract :
Problems concerning the choice of the optimum sampling frequency value in system recursive-type identifications are analyzed. The links between optimum test conditions and some of the characteristic quantities of the system under analysis are identified through experimental tests carried out on a number of different passive electrical networks. These confirmed that parameter estimation accuracy depends also on the input signal characteristics. Suitable links were identified between both time and frequency domain system properties (settling time and transfer function, respectively) and optimum conditions. Procedures are described which allow test conditions for the identification of unknown systems to be automatically and optimally evaluated
Keywords :
parameter estimation; passive networks; recursive functions; signal processing; testing; transfer functions; electrical systems; frequency domain; identification; input signal characteristics; noise; optimum sampling frequency; optimum test; parameter estimation; passive electrical networks; recursive identification; settling time; time domain; transfer function; Automatic testing; Frequency domain analysis; Frequency estimation; Parameter estimation; Poles and zeros; Sampling methods; Signal generators; Signal processing; Signal sampling; System testing;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1992. IMTC '92., 9th IEEE
Conference_Location :
Metropolitan, NY
Print_ISBN :
0-7803-0640-6
DOI :
10.1109/IMTC.1992.245186
