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. © 2006 IEEE.
A surrogate assisted Hooke-Jeeves algorithm to optimize the control system of a PMSM drive / Del Toro Garcia, Xavier; Neri, Ferrante; Cascella, Giuseppe L.; Salvatore, Nadia. - STAMPA. - (2006), pp. 4077949.347-4077949.352. (Intervento presentato al convegno International Symposium on Industrial Electronics, ISIE 2006 tenutosi a Montreal, Canada nel July 9-13, 2006) [10.1109/ISIE.2006.295618].
A surrogate assisted Hooke-Jeeves algorithm to optimize the control system of a PMSM drive
Xavier Del Toro Garcia
;Ferrante Neri
;Giuseppe L. Cascella
;
2006-01-01
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. © 2006 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
