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On-line genetic design of fuzzy controllers for DC drives with variable load

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5 Author(s)
Cupertino, F. ; Dipt. di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy ; Giordano, V. ; Naso, D. ; Turchiano, B.
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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.

Published in:

Electronics Letters  (Volume:39 ,  Issue: 5 )