Cascella G.L., Salvatore N., Sumner M., Salvatore L.
 

This paper appears in: Power Electronics and Applications, 2005 European Conference on
On page(s): 10 pp. - P.10
Location: Dresden
Print ISBN: 90-75815-09-3
INSPEC Accession Number: 9036065
Digital Object Identifier: 10.1109/EPE.2005.219570
Date of Current Version: 07 August 2006

ABSTRACT

This paper deals with the self-commissioning of electric drives. To improve the performance of self-commissioning on currently available on industrial drives, an on-line auto-tuning based on a hybrid genetic algorithm is proposed. This strategy integrates the simplex method, local searcher, in a genetic framework, global searcher, in order to speed up the convergence. Moreover it is very reliable because experimentally tests each possible solution, consequently the final result is not affected by the accuracy of the motor model. Finally, the proposed on-line hybrid optimization can be embedded as a fully-automated tool without any extra-hardware on industrial drives. Extensive experimental results prove the effectiveness of the proposed approach not only in comparison with conventional commissioning, but also when compared with further accurate hand-calibration