System identification for data acquisition characterization

2002 ◽  
Author(s):  
G. Vandersteen ◽  
Y. Rolain ◽  
J. Schoukens
Keyword(s):  
System Identification ◽  
Data Acquisition

scholarly journals Control de posición de un sistema hidráulico mediante un controlador por realimentación de estados

#ashtag ◽  
2021 ◽  
pp. 11-31
Author(s):  
Fernando Martínez ◽  
Edwin Cortes ◽  
Edgar Moreno
Keyword(s):  
System Identification ◽  
Data Acquisition ◽  
El Sistema

En este artículo se presenta el diseño de un controlador para un sistema hidráulico compuesto por una servoválvula, un sensor de posición y unidad lineal de 200 mm de carrera, que usa realimentación de estados. Para esto, se obtuvieron muestras de los valores de la salida y entrada real del sistema, mediante una tarjeta de adquisición de datos de National Instruments (usb-6211) y el Data Acquisition Toolbox de Matlab. Con los datos adquiridos y el uso del System Identification Toolbox de Matlab, se estableció un modelo adecuado que describe un comportamiento similar al del sistema hidráulico real, para el cual es diseñado un controlador por realimentación de estados y ubicación de polos, cuya función es controlar el sistema hidráulico a través de la tarjeta de adquisición de datos y el pc en tiempo real.

scholarly journals Offline synchronization of data acquisition systems using system identification

2016 ◽  
Vol 381 ◽  
pp. 264-272 ◽  
Author(s):  
K. Maes ◽  
E. Reynders ◽  
A. Rezayat ◽  
G. De Roeck ◽  
G. Lombaert
Keyword(s):  
System Identification ◽  
Data Acquisition ◽  
Data Acquisition Systems

scholarly journals Continuous-time dynamic system identification with multisine random excitation revisited

2010 ◽  
Vol 20 (2) ◽  
pp. 133-149 ◽  
Author(s):  
Jarosław Figwer
Keyword(s):  
System Identification ◽  
Dynamic System ◽  
Data Acquisition ◽  
Continuous Time ◽  
Output Signal ◽  
Random Excitation ◽  
Single Input Single Output ◽  
Time Dynamic ◽  
Data Acquisition Systems ◽  
Input And Output

Continuous-time dynamic system identification with multisine random excitation revisitedThe paper presents a new, revisited and unified approach to a linear continuous-time dynamic single-input single-output system identification using input and output signal samples acquired with a deterministic constant or random sampling interval. The approach is based on a specially designed identification experiment with excitation of the form of a continuous-time multisine random excitation and digital processing of the corresponding signal samples obtained without analogue antialiasing filtration in the case of disturbances satisfying or not satisfying the Shannon's sampling theorem. Properties of the proposed approach are discussed taking into account nonlinearity of the excitation generation and data acquisition systems with a focus on model identification in the case of input and output signal levels comparable with data acquisition system accuracy. Methods reducing influence of the disturbances (including aliasing) as well as nonlinearities of the excitation generation and data acquisition systems on identification results are proposed, too.

3D Printed Torsional Mechanism Demonstrating Fundamentals of Free Vibrations

2020 ◽  
Author(s):  
Ayse Tekes
Keyword(s):  
Experimental Data ◽  
System Identification ◽  
Data Acquisition ◽  
Low Cost ◽  
Free Vibrations ◽  
Vertical Position ◽  
Unknown Parameters ◽  
External Data ◽  
Data Acquisition Card ◽  
Torsional Mechanism

Commercially available turn-key systems are expensive and require substantial lab space making it harder to accommodate many in vibrations laboratories. This study presents a low-cost, compact and portable torsional mechanism incorporating multiple rotating disks and a long thin rod supported vertically with bearings and fixed supports at the top and bottom ends to study modeling of systems using experimental data. The mechanism consisting of a rod, disks, bearing and disk supports, and a base, is built by 3D printing using thermoplastic PETG. The long, thin rod in this mechanism serves as a torsional spring. The equivalent stiffnesses of the 2 DOF system can be changed by adjusting the vertical position of the disks with respect to the ends, thereby shortening or lengthening the effective twist length of the thin rod. The overall dimensions of the mechanism are 6 inches in height, 5 inches in width and 2 inches in depth, and the expected cost including the experimental setup is around $30 if an Arduino is used for data acquisition and $170 if equipped with National Instruments (NI) external data acquisition card (DAQ). Learning objectives of the lab course utilizing the proposed mechanism are identified. The free response data is collected for single degree of freedom system using an external data acquisition card and potentiometer and unknown parameters of the system are determined by system identification. Mechanism unknown parameters are calculated using system identification and theoretical model is compared with the experimental data.

A Community Based High Risk Register for Hearing Loss

1982 ◽  
Vol 47 (4) ◽  
pp. 373-375 ◽  
Author(s):  
James L. Fitch ◽  
Thomas F. Williams ◽  
Josephine E. Etienne
Keyword(s):  
Hearing Loss ◽  
System Identification ◽  
High Risk ◽  
Language Learning ◽  
Education Program ◽  
Communication System ◽  
Auditory Signal ◽  
Early Age ◽  
Community Based ◽  
Children With Hearing Loss

The critical need to identify children with hearing loss and provide treatment at the earliest possible age has become increasingly apparent in recent years (Northern & Downs, 1978). Reduction of the auditory signal during the critical language-learning period can severely limit the child's potential for developing a complete, effective communication system. Identification and treatment of children having handicapping conditions at an early age has gained impetus through the Handicapped Children's Early Education Program (HCEEP) projects funded by the Bureau of Education for the Handicapped (BEH).

Sign in / Sign up

Export Citation Format

Share Document