Referenced Items are not available for this document.
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
)
Date of Publication: 6 Mar 2003
- Page(s):
- 479 - 480
- ISSN :
- 0013-5194
- INSPEC Accession Number:
- 7564257
- Digital Object Identifier :
- 10.1049/el:20030321
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 02 April 2003
- Issue Date :
- 6 Mar 2003
- Sponsored by :
- Institution of Engineering and Technology
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