Title :
On-line genetic design of fuzzy controllers for DC drives with variable load
Author :
Cupertino, E. ; Giordano, V. ; Naso, D. ; Turchiano, B. ; Salvatore, L.
Author_Institution :
Dipt. di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy
fDate :
3/6/2003 12:00:00 AM
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.
Keywords :
DC motor drives; control system synthesis; fuzzy control; fuzzy set theory; genetic algorithms; machine control; DC drives; fuzzy controllers; genetic algorithm; genetic algorithms; input/output gains optimisation; input/output membership functions optimisation; multi-objective fitness function; nonlinear DC motor drive; on-line genetic design; performance trade-off; variable load;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20030321
