del Toro Garcia X., Neri F., Cascella G.L., Salvatore N.
 

This paper appears in: Industrial Electronics, 2006 IEEE International Symposium on
Issue Date: 9-13 July 2006
Volume: 1
On page(s): 347 - 352
Location: Montreal, Que.
Print ISBN: 1-4244-0496-7
INSPEC Accession Number: 9144381
Digital Object Identifier: 10.1109/ISIE.2006.295618
Date of Current Version: 29 January 2007

ABSTRACT

This paper presents the optimization of a vector controlled permanent magnet synchronous motor (PMSM). The optimization is carried out by a surrogate assisted Hooke-Jeeves algorithm (SAHJA). The SAHJA is a local searcher having a steepest descent pivot rule which employs both the real fitness and an approximated model (surrogate), in a cooperative way, in order to perform the optimization saving calculation time. The real fitness of each set of control parameters is evaluated by means of a simulated test which takes a few seconds to be executed. In a combined way, a computationally cheap approximated function, generated by means of the least square method, is employed. The numerical results show that the usage of the SAHJA leads to a significant reduction in terms of computational cost with respect to the classical Hooke-Jeeves algorithm, still maintaining high performance in terms of reliability