Implementation of indirect vector control on an integrated digital signal processor-based system

• Published in: IEEE transactions on energy conversion Vol. 14; no. 2; pp. 139 - 146
• Main Authors: Marwali, M.N., Keyhani, A., Tjanaka, W.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.06.1999; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Computer peripherals; Control systems; Digital; Digital signal processing; Digital signal processors; Direct current; Electric potential; Electrical engineering. Electrical power engineering; Electrical machines; Exact sciences and technology; Hardware; Induction machines; Machine vector control; Manufacturing processes; Mathematical analysis; Maximum likelihood estimation; Parameter estimation; Pulp manufacturing; Signal processing; Vectors (mathematics); Parameter estimation; Vector control; Induction machine; Signal processing; Maximum likelihood; Experimental study; Modeling; Digital signal
• ISSN: 0885-8969; 1558-0059
• DOI: 10.1109/60.766961

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.