PSO-based self-commissioning of electrical motor drives

Calvini, Marco (Phase Motion Control S.p.A. Genoa, Italy) ; Carpita, Mauro (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Formentini, Andrea (Dept. of Electr., Electron., Telecommun. Eng, & Naval Archit., University of Genoa, Genoa, Italy) ; Marchesoni, Mario (Dept. of Electr., Electron., Telecommun. Eng, & Naval Archit., University of Genoa, Genoa, Italy)

A new method for electrical motor drive self-commissioning, with elastic couplings and backlash, is presented. The heuristic algorithm particle swarm optimization (PSO) has been used for the identification and optimization of parameters. Initially, a model-based identification procedure is performed to evaluate the parameters of the system. Then, the parameters of a proportional-integral-derivative (PID)-based controller are optimized by using a time-domain performance criterion. Experimental results, obtained by testing three different laboratory permanent magnet synchronous motor (PMSM) drive prototypes, are also presented to confirm the validity of the proposed approach.


Keywords:
Article Type:
scientifique
Faculty:
Ingénierie et Architecture
School:
HEIG-VD
Institute:
IESE - Institut d'Energie et Systèmes Electriques
Date:
2015-02
Pagination:
9 p.
Published in:
IEEE Transactions on Industrial Electronics
Numeration (vol. no.):
2015, vol. 62, no. 2, pp. 768-776
DOI:
ISSN:
0278-0046
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2020-02-25, last modified 2020-02-25

Fulltext:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)