A genetic approach to design a fuzzy controller for a nonlinear DC motor drive is described. The genetic algorithm optimises the input/output membership functions and gains, by experimenting new solutions on-line, i.e. directly on the physical hardware. The multi-objective fitness function is defined to achieve a good trade-off of performance across different operating conditions including a variable load.
On-line genetic design of fuzzy controllers for DC drives with variable load / Cupertino, Francesco; Giordano, V; Naso, David; Turchiano, Biagio; Salvatore, L.. - In: ELECTRONICS LETTERS. - ISSN 0013-5194. - 39:5(2003), pp. 479-480. [10.1049/el:20030321]
On-line genetic design of fuzzy controllers for DC drives with variable load
CUPERTINO, Francesco;NASO, David;TURCHIANO, Biagio;
2003-01-01
Abstract
A genetic approach to design a fuzzy controller for a nonlinear DC motor drive is described. The genetic algorithm optimises the input/output membership functions and gains, by experimenting new solutions on-line, i.e. directly on the physical hardware. The multi-objective fitness function is defined to achieve a good trade-off of performance across different operating conditions including a variable load.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
