Title :
Implementation of indirect vector control on an integrated digital signal processor-based system
Author :
Marwali, Mohammad N. ; Keyhani, Ali ; Tjanaka, W.
Author_Institution :
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
fDate :
6/1/1999 12:00:00 AM
Abstract :
This paper presents an implementation of indirect vector control of an induction machine on an integrated DSP (digital signal processor) system manufactured by dSPACE GmbH. The system integrates into a single board the computational power of a TMS320C31 DSP with extra peripherals needed in vector control application, and therefore requires minimal hardware development. The induction machine parameters required for the vector control operation are obtained through an offline parameters identification using the maximum likelihood estimation technique with DC voltage source excitation. It is shown through extensive experimental study that the offline identified parameters yield in a reliable field orientation of the induction machine
Keywords :
asynchronous machines; digital signal processing chips; machine testing; machine theory; machine vector control; maximum likelihood estimation; parameter estimation; DC voltage source excitation; TMS320C31 DSP; indirect vector control; induction machine; integrated DSP system; maximum likelihood estimation; offline parameters identification; Computer peripherals; Digital signal processing; Digital signal processors; Hardware; Induction machines; Machine vector control; Manufacturing processes; Maximum likelihood estimation; Parameter estimation; Pulp manufacturing;
Journal_Title :
Energy Conversion, IEEE Transactions on
