PSO-Based Self-Commissioning of Electrical Motor Drives

Author

Calvini, Marco ; Carpita, Mauro ; Formentini, Andrea ; Marchesoni, Mario

Author_Institution

Phase Motion Control S.p.A., Genoa, Italy

Volume

62

Issue

2

fYear

2015

fDate

Feb. 2015

Firstpage

768

Lastpage

776

Abstract

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

machine control; particle swarm optimisation; permanent magnet motors; synchronous motor drives; three-term control; time-domain analysis; PID-based controller; PMSM drive; PSO-based self-commissioning; electrical motor drives; heuristic algorithm; particle swarm optimization; permanent magnet synchronous motor; proportional-integral-derivative controller; time-domain performance criterion; Cost function; Gears; Mathematical model; Shafts; Torque; Vectors; Backlash; particle swarm optimization (PSO); permanent-magnet synchronous motor (PMSM) drive; self-commissioning;

fLanguage

English

Journal_Title

Industrial Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0278-0046

Type

jour

DOI

10.1109/TIE.2014.2349478

Filename

6880829