In this paper, we describe an evolutionary design procedure for discrete-time anti-windup controller for electrical drives. Using a genetic algorithm devised to test and compare controllers of different orders, we search for the discrete anti-windup controller achieving the optimal compromise of weighted cost and performance indices. The search is performed on-line, on the physical hardware, by continuously downloading and testing new solutions on a microprocessor running the control algorithms in real time. The controller obtained through genetic search significantly outperforms alternative schemes obtained with conventional design techniques.
On-line genetic design of anti-windup unstructured controllers for electric drives with variable load / Cupertino, F.; Mininno, E.; Naso, D.; Turchiano, B.; Salvatore, Luigi. - In: IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION. - ISSN 1089-778X. - STAMPA. - 8:4(2004), pp. 347-364. [10.1109/TEVC.2004.827823]
On-line genetic design of anti-windup unstructured controllers for electric drives with variable load
Cupertino, F.;Mininno, E.;Naso, D.;Turchiano, B.;Salvatore, Luigi
2004-01-01
Abstract
In this paper, we describe an evolutionary design procedure for discrete-time anti-windup controller for electrical drives. Using a genetic algorithm devised to test and compare controllers of different orders, we search for the discrete anti-windup controller achieving the optimal compromise of weighted cost and performance indices. The search is performed on-line, on the physical hardware, by continuously downloading and testing new solutions on a microprocessor running the control algorithms in real time. The controller obtained through genetic search significantly outperforms alternative schemes obtained with conventional design techniques.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.