Development of a self-tuning fuzzy logic controller
Conference
·
OSTI ID:20002299
To avoid the laborious task of modifying control rule sets for fuzzy logic controllers, a novel model-based self-tuning strategy has been developed. The performance of this advanced fuzzy logic controller is measured and analyzed in a linguistic plane. An optimal performance trajectory functions as the control model. The self-tuning strategy improves the performance automatically until it converges to a predetermined optimal global criterion. The experimental results indicate that the actual performance trajectory of the advanced fuzzy controller with the self-tuning strategy has reached the optimal criterion.
- Research Organization:
- Noval Controls, Santa Cruz, CA (US)
- OSTI ID:
- 20002299
- Report Number(s):
- CONF-990102--; ISSN 0001-2505
- Country of Publication:
- United States
- Language:
- English
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