System identification using experimental data acquired for a few values of inertia and approximating the influence of inertia using interpolation

Author

Florea, Bogdan-Florin ; Barbot, Jean-Pierre

Author_Institution

Fac. of Electron., Telecommun. & Inf. Technol., Politeh. Univ. of Bucharest, Bucharest, Romania

fYear

2012

fDate

12-14 Oct. 2012

Firstpage

1

Lastpage

6

Abstract

The system identification method proposed in this paper has been used to develop a simulation model for a system composed by a DC motor with a variable inertia and a current regulator (regarded as a black box). This method performs multiple SISO (single input - single output) identifications of the system, each time with a different constant value of inertia. Using all SISO identifications, a single model of the system is developed using state space averaging to perform the interpolation, in order to model the behavior of the system for intermediate values of inertia.

Keywords

DC motors; approximation theory; electric current control; identification; interpolation; state-space methods; DC motor; SISO identifications; black box; constant inertia value; current regulator; interpolation; simulation model; single-input single-output identifications; state space; system identification method; variable inertia influence approximation; Autoregressive processes; DC motors; Data models; Interpolation; Numerical models; Regulators; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, Control and Computing (ICSTCC), 2012 16th International Conference on

Conference_Location

Sinaia

Print_ISBN

978-1-4673-4534-7

Type

conf

Filename

6379271