DocumentCode
2055283
Title
Hammerstein Modeling of Electrical Drives: Identification by Multiple Integrators
Author
Burgio, Alessandro ; Eisinberg, Alfredo ; Fedele, Giuseppe
Author_Institution
Dip. Elettronica, Informatica e Sistemistica, UniversitÃ\xa0 della Calabria, 87036 Arcavacata di Rende (CS), Italy. burgio@deis.unical.it
fYear
2007
fDate
12-14 April 2007
Firstpage
330
Lastpage
335
Abstract
In this paper the authors propose a novel method in order to identify the Hammerstein model where the nonlinear process is approximated by a static nonlinear element followed by a linear dynamic second or third-order model. The method is able to determine the parameters of the linear plant and two point of the nonlinear element in a unique step by using a filtered equation and the least-squares method. One of the most significant simulation example applied to the identification of a dc-engine is reported; it demonstrates the effectiveness of the proposed method and its acceptable robustness to disturbance and to measurements noise.
Keywords
Artificial neural networks; Automatic testing; Feedback; Frequency response; Function approximation; Noise measurement; Noise robustness; Nonlinear equations; Nonlinear filters; Relays;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering, Energy and Electrical Drives, 2007. POWERENG 2007. International Conference on
Conference_Location
Setubal, Portugal
Print_ISBN
978-1-4244-0895-5
Electronic_ISBN
978-1-4244-0895-5
Type
conf
DOI
10.1109/POWERENG.2007.4380091
Filename
4380091
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