A software platform for real time data acquisition, system identification and control of a multivariable process

Author

Florea, Gabriel ; Lupu, Ciprian

Author_Institution

Automatics & Comput. Sci. Fac., Univ. “Politeh.”, Bucharest, Romania

fYear

2013

fDate

26-27 Aug. 2013

Firstpage

62

Lastpage

67

Abstract

This paper presents high automated control solutions implemented on a unique software platform designed for real-time data acquisition, system identification and control. In the same time a comparison study between pole placement method and LQG optimal control for a MIMO industrial process will be presented. A special module for data process, developed for robust Matlab algorithms integration, is included and described on the following chapters.

Keywords

MIMO systems; data acquisition; identification; linear quadratic Gaussian control; optimal control; LQG optimal control; MIMO industrial process; control process; high automated control solutions; multivariable process; pole placement method; real time data acquisition; real-time data acquisition; robust Matlab algorithms integration; system identification; unique software platform; Data acquisition; MATLAB; MIMO; Mathematical model; Software algorithms; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems and Computer Science (ICSCS), 2013 2nd International Conference on

Conference_Location

Villeneuve d´Ascq

Print_ISBN

978-1-4799-2020-4

Type

conf

DOI

10.1109/IcConSCS.2013.6632024

Filename

6632024