Title :
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
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;
Conference_Titel :
System Theory, Control and Computing (ICSTCC), 2012 16th International Conference on
Conference_Location :
Sinaia
Print_ISBN :
978-1-4673-4534-7
